* installing to library ‘/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages’
* installing *source* package ‘adelie’ ...
** package ‘adelie’ successfully unpacked and MD5 sums checked
** using staged installation
** libs
using C++ compiler: ‘g++-14 (Debian 14.2.0-8) 14.2.0’
using C++17
make[1]: Entering directory '/tmp/Rtmp2h7uP0/R.INSTALL3c1a966abd20d9/adelie/src'
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS  -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -fopenmp -fpic  -g -O2 -Wall -pedantic -mtune=native  -DR_NO_REMAP -c RcppExports.cpp -o RcppExports.o
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:28,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS  -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -fopenmp -fpic  -g -O2 -Wall -pedantic -mtune=native  -DR_NO_REMAP -c rcpp_configs.cpp -o rcpp_configs.o
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:28,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                 from decl.h:3,
                 from rcpp_configs.cpp:1:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS  -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -fopenmp -fpic  -g -O2 -Wall -pedantic -mtune=native  -DR_NO_REMAP -c rcpp_constraint.cpp -o rcpp_constraint.o
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:28,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                 from decl.h:3,
                 from rcpp_constraint.h:2,
                 from rcpp_constraint.cpp:1:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 1, -1, 1, 1, -1>’
   45 | class Array
      |       ^~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_base.hpp:58:18:   required from ‘class adelie_core::constraint::ConstraintBase<double>’
   58 |     virtual void solve(
      |                  ^~~~~
rcpp_constraint.h:18:9:   required from here
   27 |         if (!ptr) { \
      |              ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 1, -1, 1, 1, -1>’
   45 | class Array
      |       ^~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_base.hpp:58:18:   required from ‘class adelie_core::constraint::ConstraintBase<double>’
   58 |     virtual void solve(
      |                  ^~~~~
rcpp_constraint.h:18:9:   required from here
   27 |         if (!ptr) { \
      |              ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_base.hpp:58:18:   required from ‘class adelie_core::constraint::ConstraintBase<double>’
   58 |     virtual void solve(
      |                  ^~~~~
rcpp_constraint.h:18:9:   required from here
   27 |         if (!ptr) { \
      |              ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS  -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -fopenmp -fpic  -g -O2 -Wall -pedantic -mtune=native  -DR_NO_REMAP -c rcpp_glm.cpp -o rcpp_glm.o
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:28,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                 from decl.h:3,
                 from rcpp_glm.h:2,
                 from rcpp_glm.cpp:1:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29:   required from ‘struct Eigen::internal::traits<const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   23 | template<typename T> struct traits<const T> : traits<T> {};
      |                             ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from ‘struct Eigen::internal::traits<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >’
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:22:22:   required from ‘class adelie_core::glm::GlmBase<double>’
   22 |     map_cvec_value_t y;
      |                      ^
rcpp_glm.h:164:39:   required from here
  164 |     bool is_multi() const { return ptr->is_multi; }
      |                                       ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 1, -1, 1, 1, -1>’
   45 | class Array
      |       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from ‘struct Eigen::internal::traits<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   24 |                              ? PlainObjectType::ColsAtCompileTime
      |                                                 ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >’
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:22:22:   required from ‘class adelie_core::glm::GlmBase<double>’
   22 |     map_cvec_value_t y;
      |                      ^
rcpp_glm.h:164:39:   required from here
  164 |     bool is_multi() const { return ptr->is_multi; }
      |                                       ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:22:22:   required from ‘class adelie_core::glm::GlmBase<double>’
   22 |     map_cvec_value_t y;
      |                      ^
rcpp_glm.h:164:39:   required from here
  164 |     bool is_multi() const { return ptr->is_multi; }
      |                                       ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
rcpp_glm.h:166:27:   required from here
  166 |     vec_value_t y() const { return ptr->y; }
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_glm.h:173:29:   required from here
  173 |         vec_value_t grad(eta.size());
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:329:77:   required from ‘class Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >’
  329 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
      |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_glm.h:174:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from ‘class Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >’
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
rcpp_glm.h:174:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1, 1, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1, 1, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1, 1, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, -1, 1, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, -1, 1, -1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1, 1, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, -1, 1, -1, -1>’
   45 | class Array
      |       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from ‘struct Eigen::internal::traits<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   24 |                              ? PlainObjectType::ColsAtCompileTime
      |                                                 ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >’
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:23:22:   required from ‘class adelie_core::glm::GlmMultiBase<double>’
   23 |     map_carr_value_t y;
      |                      ^
rcpp_glm.h:203:39:   required from here
  203 |     bool is_multi() const { return ptr->is_multi; }
      |                                       ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:23:22:   required from ‘class adelie_core::glm::GlmMultiBase<double>’
   23 |     map_carr_value_t y;
      |                      ^
rcpp_glm.h:203:39:   required from here
  203 |     bool is_multi() const { return ptr->is_multi; }
      |                                       ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, -1>’
   45 | class Array
      |       ^~~~~
rcpp_glm.h:205:30:   required from here
  205 |     colarr_value_t y() const { return ptr->y; }
      |                              ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Array<double, -1, -1> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_glm.h:212:34:   required from here
  212 |         colarr_value_t gradT(etaT.rows(), etaT.cols());
      |                                  ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_glm.h:214:41:   required from here
  214 |         Eigen::Map<rowarr_value_t> grad(gradT.data(), gradT.cols(), gradT.rows());
      |                                         ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:329:77:   required from ‘class Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
  329 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
      |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_glm.h:215:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from ‘class Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
rcpp_glm.h:215:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Array<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Array<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Array<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Array<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:288:29:   required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase<OtherDerived>&, typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type = Eigen::Array<double, -1, 1>::PrivateType; typename OtherDerived::Scalar = double; typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar = double]’
  288 |       : Base(other.derived())
      |                             ^
rcpp_glm.h:166:41:   required from here
  166 |     vec_value_t y() const { return ptr->y; }
      |                                    ~~~~~^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, 1, -1, 1, 1, -1>; Src = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Func = assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:371:41:   required from ‘void Eigen::Ref<const TPlainObjectType, Options, StrideType>::construct(const Expression&, Eigen::internal::false_type) [with Expression = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array<double, 1, -1, 1, 1, -1>; int Options = 0; StrideType = Eigen::InnerStride<1>]’
  371 |       internal::call_assignment_no_alias(m_object,expr,internal::assign_op<Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:364:18:   required from ‘void Eigen::Ref<const TPlainObjectType, Options, StrideType>::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array<double, 1, -1, 1, 1, -1>; int Options = 0; StrideType = Eigen::InnerStride<1>]’
  364 |         construct(expr, internal::false_type());
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:345:16:   required from ‘Eigen::Ref<const TPlainObjectType, Options, StrideType>::Ref(const Eigen::DenseBase<OtherDerived>&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<const TPlainObjectType, Options, StrideType> >::match<Derived>::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array<double, 1, -1, 1, 1, -1>; int Options = 0; StrideType = Eigen::InnerStride<1>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<const TPlainObjectType, Options, StrideType> >::match<Derived>::ScalarTypeMatch), Derived>::type = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<Eigen::Ref<const TPlainObjectType, Options, StrideType> >::match<Derived> = Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
  345 |       construct(expr.derived(), typename Traits::template match<Derived>::type());
      |       ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_glm.h:174:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:300:30:   required from ‘static auto adelie_core::glm::GlmCox<ValueType>::init_weights_size_to(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  300 |             vec_value_t::Ones(stop_to.size()),
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:368:45:   required from ‘adelie_core::glm::GlmCox<ValueType>::GlmCox(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const std::string&) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; std::string = std::__cxx11::basic_string<char>]’
  368 |         weights_size_to(init_weights_size_to(
      |                         ~~~~~~~~~~~~~~~~~~~~^
  369 |             stop_to, status_to, weights_to
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~   
  370 |         )),
      |         ~                                    
/usr/include/c++/14/bits/stl_construct.h:119:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/bits/shared_ptr_base.h:969:16:   required from ‘std::__shared_count<_Lp>::__shared_count(_Tp*&, std::_Sp_alloc_shared_tag<_Alloc>, _Args&& ...) [with _Tp = adelie_core::glm::GlmCox<double>; _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’
  969 |           auto __pi = ::new (__mem)
      |                       ^~~~~~~~~~~~~
  970 |             _Sp_cp_type(__a._M_a, std::forward<_Args>(__args)...);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/bits/shared_ptr_base.h:1713:14:   required from ‘std::__shared_ptr<_Tp, _Lp>::__shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}; _Tp = adelie_core::glm::GlmCox<double>; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’
 1713 |         : _M_ptr(), _M_refcount(_M_ptr, __tag, std::forward<_Args>(__args)...)
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/bits/shared_ptr.h:463:59:   required from ‘std::shared_ptr<_Tp>::shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}; _Tp = adelie_core::glm::GlmCox<double>]’
  463 |         : __shared_ptr<_Tp>(__tag, std::forward<_Args>(__args)...)
      |                                                                  ^
/usr/include/c++/14/bits/shared_ptr.h:1007:14:   required from ‘std::shared_ptr<typename std::enable_if<(! std::is_array<_Tp>::value), _Tp>::type> std::make_shared(_Args&& ...) [with _Tp = adelie_core::glm::GlmCox<double>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const __cxx11::basic_string<char, char_traits<char>, allocator<char> >&}; typename enable_if<(! is_array<_Tp>::value), _Tp>::type = adelie_core::glm::GlmCox<double>]’
 1007 |       return shared_ptr<_Tp>(_Sp_alloc_shared_tag<_Alloc>{__a},
      |              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1008 |                              std::forward<_Args>(__args)...);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_glm.h:235:1:   required from ‘RGlmCox64::RGlmCox64(Args&& ...) [with Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}]’
   41 |             bname(std::make_shared<aname>(std::forward<Args>(args)...)) \
      |                   ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_glm.cpp:31:71:   required from here
   31 |     return new r_glm_cox_64_t(start, stop, status, weights, tie_method);
      |                                                                       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/bits/shared_ptr_base.h:969:16:   required from ‘std::__shared_count<_Lp>::__shared_count(_Tp*&, std::_Sp_alloc_shared_tag<_Alloc>, _Args&& ...) [with _Tp = adelie_core::glm::GlmCox<double>; _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’
  969 |           auto __pi = ::new (__mem)
      |                       ^~~~~~~~~~~~~
  970 |             _Sp_cp_type(__a._M_a, std::forward<_Args>(__args)...);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/bits/shared_ptr_base.h:1713:14:   required from ‘std::__shared_ptr<_Tp, _Lp>::__shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}; _Tp = adelie_core::glm::GlmCox<double>; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’
 1713 |         : _M_ptr(), _M_refcount(_M_ptr, __tag, std::forward<_Args>(__args)...)
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/bits/shared_ptr.h:463:59:   required from ‘std::shared_ptr<_Tp>::shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}; _Tp = adelie_core::glm::GlmCox<double>]’
  463 |         : __shared_ptr<_Tp>(__tag, std::forward<_Args>(__args)...)
      |                                                                  ^
/usr/include/c++/14/bits/shared_ptr.h:1007:14:   required from ‘std::shared_ptr<typename std::enable_if<(! std::is_array<_Tp>::value), _Tp>::type> std::make_shared(_Args&& ...) [with _Tp = adelie_core::glm::GlmCox<double>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const __cxx11::basic_string<char, char_traits<char>, allocator<char> >&}; typename enable_if<(! is_array<_Tp>::value), _Tp>::type = adelie_core::glm::GlmCox<double>]’
 1007 |       return shared_ptr<_Tp>(_Sp_alloc_shared_tag<_Alloc>{__a},
      |              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1008 |                              std::forward<_Args>(__args)...);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_glm.h:235:1:   required from ‘RGlmCox64::RGlmCox64(Args&& ...) [with Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}]’
   41 |             bname(std::make_shared<aname>(std::forward<Args>(args)...)) \
      |                   ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_glm.cpp:31:71:   required from here
   31 |     return new r_glm_cox_64_t(start, stop, status, weights, tie_method);
      |                                                                       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/bits/shared_ptr_base.h:969:16:   required from ‘std::__shared_count<_Lp>::__shared_count(_Tp*&, std::_Sp_alloc_shared_tag<_Alloc>, _Args&& ...) [with _Tp = adelie_core::glm::GlmCox<double>; _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’
  969 |           auto __pi = ::new (__mem)
      |                       ^~~~~~~~~~~~~
  970 |             _Sp_cp_type(__a._M_a, std::forward<_Args>(__args)...);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/bits/shared_ptr_base.h:1713:14:   required from ‘std::__shared_ptr<_Tp, _Lp>::__shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}; _Tp = adelie_core::glm::GlmCox<double>; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’
 1713 |         : _M_ptr(), _M_refcount(_M_ptr, __tag, std::forward<_Args>(__args)...)
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/bits/shared_ptr.h:463:59:   required from ‘std::shared_ptr<_Tp>::shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}; _Tp = adelie_core::glm::GlmCox<double>]’
  463 |         : __shared_ptr<_Tp>(__tag, std::forward<_Args>(__args)...)
      |                                                                  ^
/usr/include/c++/14/bits/shared_ptr.h:1007:14:   required from ‘std::shared_ptr<typename std::enable_if<(! std::is_array<_Tp>::value), _Tp>::type> std::make_shared(_Args&& ...) [with _Tp = adelie_core::glm::GlmCox<double>; _Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const __cxx11::basic_string<char, char_traits<char>, allocator<char> >&}; typename enable_if<(! is_array<_Tp>::value), _Tp>::type = adelie_core::glm::GlmCox<double>]’
 1007 |       return shared_ptr<_Tp>(_Sp_alloc_shared_tag<_Alloc>{__a},
      |              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1008 |                              std::forward<_Args>(__args)...);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_glm.h:235:1:   required from ‘RGlmCox64::RGlmCox64(Args&& ...) [with Args = {const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&}]’
   41 |             bname(std::make_shared<aname>(std::forward<Args>(args)...)) \
      |                   ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_glm.cpp:31:71:   required from here
   31 |     return new r_glm_cox_64_t(start, stop, status, weights, tie_method);
      |                                                                       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
rcpp_glm.h:105:17:   required from ‘void adelie_core::glm::GlmMultiS4<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  103 |         grad = Rcpp::as<Eigen::Map<colarr_value_t>>(
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  104 |             ADELIE_CORE_S4_PURE_OVERRIDE(gradient, _glm, etaT_r)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  105 |         ).matrix().transpose().array();
      |         ~~~~~~~~^~
rcpp_glm.h:97:10:   required from here
   97 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
rcpp_glm.h:105:29:   required from ‘void adelie_core::glm::GlmMultiS4<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  103 |         grad = Rcpp::as<Eigen::Map<colarr_value_t>>(
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  104 |             ADELIE_CORE_S4_PURE_OVERRIDE(gradient, _glm, etaT_r)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  105 |         ).matrix().transpose().array();
      |         ~~~~~~~~~~~~~~~~~~~~^~
rcpp_glm.h:97:10:   required from here
   97 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > > > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > > > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, -1, -1> > > > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
rcpp_glm.h:105:37:   required from ‘void adelie_core::glm::GlmMultiS4<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  103 |         grad = Rcpp::as<Eigen::Map<colarr_value_t>>(
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  104 |             ADELIE_CORE_S4_PURE_OVERRIDE(gradient, _glm, etaT_r)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  105 |         ).matrix().transpose().array();
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_glm.h:97:10:   required from here
   97 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
  977 | struct evaluator<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71:   required from ‘struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
 1018 |     Flags = evaluator<Map<PlainObjectType, RefOptions, StrideType> >::Flags,
      |                                                                       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:340:101:   required by substitution of ‘template<class Derived> Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >]’
  340 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::ScalarTypeMatch),Derived>::type* = 0)
      |                                                                                                     ^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:163:35:   required from ‘void adelie_core::glm::GlmMultiBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, Eigen::Ref<Eigen::Array<ValueType, -1, -1, 1, -1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  163 |         check_inv_hessian_gradient(eta, grad, hess, inv_hess_grad);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18:   required from here
  156 |     virtual void inv_hessian_gradient(
      |                  ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:165:21:   required from ‘void adelie_core::glm::GlmMultiBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, Eigen::Ref<Eigen::Array<ValueType, -1, -1, 1, -1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  165 |             hess.max(0) +
      |             ~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18:   required from here
  156 |     virtual void inv_hessian_gradient(
      |                  ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:165:21:   required from ‘void adelie_core::glm::GlmMultiBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, Eigen::Ref<Eigen::Array<ValueType, -1, -1, 1, -1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  165 |             hess.max(0) +
      |             ~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18:   required from here
  156 |     virtual void inv_hessian_gradient(
      |                  ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   required from ‘struct Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >::CastXpr<double>’
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:166:79:   required from ‘void adelie_core::glm::GlmMultiBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, Eigen::Ref<Eigen::Array<ValueType, -1, -1, 1, -1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  166 |             value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>()
      |                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18:   required from here
  156 |     virtual void inv_hessian_gradient(
      |                  ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:166:43:   required from ‘void adelie_core::glm::GlmMultiBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, Eigen::Ref<Eigen::Array<ValueType, -1, -1, 1, -1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  166 |             value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18:   required from here
  156 |     virtual void inv_hessian_gradient(
      |                  ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:166:43:   required from ‘void adelie_core::glm::GlmMultiBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, Eigen::Ref<Eigen::Array<ValueType, -1, -1, 1, -1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  166 |             value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18:   required from here
  156 |     virtual void inv_hessian_gradient(
      |                  ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:165:25:   required from ‘void adelie_core::glm::GlmMultiBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, Eigen::Ref<Eigen::Array<ValueType, -1, -1, 1, -1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  164 |         inv_hess_grad = grad / (
      |                                ~
  165 |             hess.max(0) +
      |             ~~~~~~~~~~~~^
  166 |             value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  167 |         );
      |         ~                
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18:   required from here
  156 |     virtual void inv_hessian_gradient(
      |                  ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:164:30:   required from ‘void adelie_core::glm::GlmMultiBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, Eigen::Ref<Eigen::Array<ValueType, -1, -1, 1, -1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  164 |         inv_hess_grad = grad / (
      |                         ~~~~~^~~
  165 |             hess.max(0) +
      |             ~~~~~~~~~~~~~     
  166 |             value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  167 |         );
      |         ~                     
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18:   required from here
  156 |     virtual void inv_hessian_gradient(
      |                  ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > > > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > > > >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > > >]’
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:164:23:   required from ‘void adelie_core::glm::GlmMultiBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, const Eigen::Ref<const Eigen::Array<ValueType, -1, -1, 1, -1, -1> >&, Eigen::Ref<Eigen::Array<ValueType, -1, -1, 1, -1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<Eigen::Array<ValueType, -1, -1, 1, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  164 |         inv_hess_grad = grad / (
      |         ~~~~~~~~~~~~~~^~~~~~~~~~
  165 |             hess.max(0) +
      |             ~~~~~~~~~~~~~
  166 |             value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  167 |         );
      |         ~              
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18:   required from here
  156 |     virtual void inv_hessian_gradient(
      |                  ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff<double, double>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff<double, double>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff<double, double>, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff<double, double>, 1>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:43:41:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   43 |         eta_max = eta.rowwise().maxCoeff();
      |                   ~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10:   required from here
   36 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:44:47:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   44 |         grad = (eta.colwise() - eta_max.matrix().transpose().array()).exp();
      |                                 ~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10:   required from here
   36 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:44:59:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   44 |         grad = (eta.colwise() - eta_max.matrix().transpose().array()).exp();
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10:   required from here
   36 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:44:67:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   44 |         grad = (eta.colwise() - eta_max.matrix().transpose().array()).exp();
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10:   required from here
   36 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1>’
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:44:31:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   44 |         grad = (eta.colwise() - eta_max.matrix().transpose().array()).exp();
      |                ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10:   required from here
   36 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:44:31:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   44 |         grad = (eta.colwise() - eta_max.matrix().transpose().array()).exp();
      |                ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10:   required from here
   36 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:44:74:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   44 |         grad = (eta.colwise() - eta_max.matrix().transpose().array()).exp();
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10:   required from here
   36 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum<double, double>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum<double, double>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::PartialReduxExpr<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum<double, double>, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum<double, double>, 1>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:46:37:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   46 |         sum_exp = grad.rowwise().sum();
      |                   ~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10:   required from here
   36 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:48:33:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   48 |             (y - grad.colwise() / sum_exp.matrix().transpose().array()).colwise() *
      |                  ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10:   required from here
   36 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:48:16:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   48 |             (y - grad.colwise() / sum_exp.matrix().transpose().array()).colwise() *
      |             ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10:   required from here
   36 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:49:27:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   49 |             weights.matrix().transpose().array() / eta.cols()
      |             ~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10:   required from here
   36 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:49:39:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   49 |             weights.matrix().transpose().array() / eta.cols()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10:   required from here
   36 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:49:47:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   49 |             weights.matrix().transpose().array() / eta.cols()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10:   required from here
   36 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1>’
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:48:83:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   48 |             (y - grad.colwise() / sum_exp.matrix().transpose().array()).colwise() *
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   49 |             weights.matrix().transpose().array() / eta.cols()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                   
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10:   required from here
   36 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:48:83:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   48 |             (y - grad.colwise() / sum_exp.matrix().transpose().array()).colwise() *
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   49 |             weights.matrix().transpose().array() / eta.cols()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                   
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10:   required from here
   36 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:49:50:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   47 |         grad = (
      |                ~                                  
   48 |             (y - grad.colwise() / sum_exp.matrix().transpose().array()).colwise() *
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   49 |             weights.matrix().transpose().array() / eta.cols()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
   50 |         );
      |         ~                                         
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10:   required from here
   36 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:62:25:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   62 |             y.colwise() * weights.matrix().transpose().array() / eta.cols()
      |             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10:   required from here
   53 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:62:64:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   62 |             y.colwise() * weights.matrix().transpose().array() / eta.cols()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10:   required from here
   53 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:63:13:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   61 |         hess = (
      |                ~
   62 |             y.colwise() * weights.matrix().transpose().array() / eta.cols()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   63 |             - grad
      |             ^~~~~~
   64 |         );
      |         ~    
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10:   required from here
   53 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   required from ‘struct Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >::CastXpr<double>’
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:68:65:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   68 |                 (weights + (weights <= 0).template cast<value_t>()).matrix().transpose().array()
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10:   required from here
   53 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:68:26:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   68 |                 (weights + (weights <= 0).template cast<value_t>()).matrix().transpose().array()
      |                 ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10:   required from here
   53 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:68:75:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   68 |                 (weights + (weights <= 0).template cast<value_t>()).matrix().transpose().array()
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10:   required from here
   53 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:68:87:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   68 |                 (weights + (weights <= 0).template cast<value_t>()).matrix().transpose().array()
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10:   required from here
   53 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:68:95:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   68 |                 (weights + (weights <= 0).template cast<value_t>()).matrix().transpose().array()
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10:   required from here
   53 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1>’
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:67:32:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   66 |         hess *= 2 * (1 - grad.cols() * (
      |                                        ~
   67 |                 hess.colwise() /
      |                 ~~~~~~~~~~~~~~~^
   68 |                 (weights + (weights <= 0).template cast<value_t>()).matrix().transpose().array()
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   69 |             )
      |             ~                   
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10:   required from here
   53 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:67:32:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   66 |         hess *= 2 * (1 - grad.cols() * (
      |                                        ~
   67 |                 hess.colwise() /
      |                 ~~~~~~~~~~~~~~~^
   68 |                 (weights + (weights <= 0).template cast<value_t>()).matrix().transpose().array()
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   69 |             )
      |             ~                   
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10:   required from here
   53 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:66:38:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   66 |         hess *= 2 * (1 - grad.cols() * (
      |                          ~~~~~~~~~~~~^~~
   67 |                 hess.colwise() /
      |                 ~~~~~~~~~~~~~~~~      
   68 |                 (weights + (weights <= 0).template cast<value_t>()).matrix().transpose().array()
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   69 |             )
      |             ~                         
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10:   required from here
   53 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:66:24:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   66 |         hess *= 2 * (1 - grad.cols() * (
      |                     ~~~^~~~~~~~~~~~~~~~~
   67 |                 hess.colwise() /
      |                 ~~~~~~~~~~~~~~~~
   68 |                 (weights + (weights <= 0).template cast<value_t>()).matrix().transpose().array()
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   69 |             )
      |             ~           
   70 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10:   required from here
   53 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:66:19:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   66 |         hess *= 2 * (1 - grad.cols() * (
      |                 ~~^~~~~~~~~~~~~~~~~~~~~~
   67 |                 hess.colwise() /
      |                 ~~~~~~~~~~~~~~~~
   68 |                 (weights + (weights <= 0).template cast<value_t>()).matrix().transpose().array()
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   69 |             )
      |             ~      
   70 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10:   required from here
   53 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:84:22:   required from ‘typename adelie_core::glm::GlmMultinomial<ValueType>::base_t::value_t adelie_core::glm::GlmMultinomial<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   84 |                 - (y * eta_shift).rowwise().sum()
      |                   ~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13:   required from here
   73 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:84:48:   required from ‘typename adelie_core::glm::GlmMultinomial<ValueType>::base_t::value_t adelie_core::glm::GlmMultinomial<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   84 |                 - (y * eta_shift).rowwise().sum()
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13:   required from here
   73 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:84:17:   required from ‘typename adelie_core::glm::GlmMultinomial<ValueType>::base_t::value_t adelie_core::glm::GlmMultinomial<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   84 |                 - (y * eta_shift).rowwise().sum()
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13:   required from here
   73 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:85:32:   required from ‘typename adelie_core::glm::GlmMultinomial<ValueType>::base_t::value_t adelie_core::glm::GlmMultinomial<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   85 |                 + eta_shift.exp().rowwise().sum().log()
      |                   ~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13:   required from here
   73 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:85:48:   required from ‘typename adelie_core::glm::GlmMultinomial<ValueType>::base_t::value_t adelie_core::glm::GlmMultinomial<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   85 |                 + eta_shift.exp().rowwise().sum().log()
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13:   required from here
   73 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:85:54:   required from ‘typename adelie_core::glm::GlmMultinomial<ValueType>::base_t::value_t adelie_core::glm::GlmMultinomial<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   85 |                 + eta_shift.exp().rowwise().sum().log()
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13:   required from here
   73 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:85:17:   required from ‘typename adelie_core::glm::GlmMultinomial<ValueType>::base_t::value_t adelie_core::glm::GlmMultinomial<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   83 |             weights.matrix().transpose().array() * (
      |                                                    ~
   84 |                 - (y * eta_shift).rowwise().sum()
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   85 |                 + eta_shift.exp().rowwise().sum().log()
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   86 |             )
      |             ~    
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13:   required from here
   73 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:83:50:   required from ‘typename adelie_core::glm::GlmMultinomial<ValueType>::base_t::value_t adelie_core::glm::GlmMultinomial<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   82 |         return (
      |                ~                                  
   83 |             weights.matrix().transpose().array() * (
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   84 |                 - (y * eta_shift).rowwise().sum()
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
   85 |                 + eta_shift.exp().rowwise().sum().log()
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   86 |             )
      |             ~                                     
   87 |         ).sum() / y.cols();
      |         ~                                         
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13:   required from here
   73 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:31:19:   required from ‘void adelie_core::glm::GlmMultiGaussian<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   31 |         grad = ((y-eta).colwise() * weights.matrix().transpose().array()) / eta.cols();
      |                 ~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:25:10:   required from here
   25 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:31:35:   required from ‘void adelie_core::glm::GlmMultiGaussian<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   31 |         grad = ((y-eta).colwise() * weights.matrix().transpose().array()) / eta.cols();
      |                ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:25:10:   required from here
   25 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:31:75:   required from ‘void adelie_core::glm::GlmMultiGaussian<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   31 |         grad = ((y-eta).colwise() * weights.matrix().transpose().array()) / eta.cols();
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:25:10:   required from here
   25 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:41:63:   required from ‘void adelie_core::glm::GlmMultiGaussian<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   41 |         hess.colwise() = weights.matrix().transpose().array() / hess.cols();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:34:10:   required from here
   34 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:41:63:   required from ‘void adelie_core::glm::GlmMultiGaussian<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   41 |         hess.colwise() = weights.matrix().transpose().array() / hess.cols();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:34:10:   required from here
   34 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:51:30:   required from ‘typename adelie_core::glm::GlmMultiGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmMultiGaussian<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   51 |             (0.5 * eta.square() - y * eta).rowwise().sum()
      |                    ~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13:   required from here
   44 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:51:18:   required from ‘typename adelie_core::glm::GlmMultiGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmMultiGaussian<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   51 |             (0.5 * eta.square() - y * eta).rowwise().sum()
      |              ~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13:   required from here
   44 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:51:37:   required from ‘typename adelie_core::glm::GlmMultiGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmMultiGaussian<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   51 |             (0.5 * eta.square() - y * eta).rowwise().sum()
      |                                   ~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13:   required from here
   44 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:51:33:   required from ‘typename adelie_core::glm::GlmMultiGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmMultiGaussian<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   51 |             (0.5 * eta.square() - y * eta).rowwise().sum()
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13:   required from here
   44 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:51:57:   required from ‘typename adelie_core::glm::GlmMultiGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmMultiGaussian<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   51 |             (0.5 * eta.square() - y * eta).rowwise().sum()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13:   required from here
   44 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:50:50:   required from ‘typename adelie_core::glm::GlmMultiGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmMultiGaussian<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   49 |         return (
      |                ~                                  
   50 |             weights.matrix().transpose().array() *
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   51 |             (0.5 * eta.square() - y * eta).rowwise().sum()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   52 |         ).sum() / y.cols();
      |         ~                                         
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13:   required from here
   44 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:58:22:   required from ‘typename adelie_core::glm::GlmMultiGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmMultiGaussian<ValueType>::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>]’
   58 |             (y.square().colwise() * weights.matrix().transpose().array()).sum()
      |              ~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:55:13:   required from here
   55 |     value_t loss_full() override
      |             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:58:35:   required from ‘typename adelie_core::glm::GlmMultiGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmMultiGaussian<ValueType>::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>]’
   58 |             (y.square().colwise() * weights.matrix().transpose().array()).sum()
      |             ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:55:13:   required from here
   55 |     value_t loss_full() override
      |             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
  977 | struct evaluator<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71:   required from ‘struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
 1018 |     Flags = evaluator<Map<PlainObjectType, RefOptions, StrideType> >::Flags,
      |                                                                       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:340:101:   required by substitution of ‘template<class Derived> Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Derived>::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >]’
  340 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::ScalarTypeMatch),Derived>::type* = 0)
      |                                                                                                     ^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:147:35:   required from ‘void adelie_core::glm::GlmBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  147 |         check_inv_hessian_gradient(eta, grad, hess, inv_hess_grad);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:140:18:   required from here
  140 |     virtual void inv_hessian_gradient(
      |                  ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:149:21:   required from ‘void adelie_core::glm::GlmBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  149 |             hess.max(0) +
      |             ~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:140:18:   required from here
  140 |     virtual void inv_hessian_gradient(
      |                  ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   required from ‘struct Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >::CastXpr<double>’
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:150:79:   required from ‘void adelie_core::glm::GlmBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  150 |             value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>()
      |                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:140:18:   required from here
  140 |     virtual void inv_hessian_gradient(
      |                  ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:150:43:   required from ‘void adelie_core::glm::GlmBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  150 |             value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:140:18:   required from here
  140 |     virtual void inv_hessian_gradient(
      |                  ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:150:43:   required from ‘void adelie_core::glm::GlmBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  150 |             value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:140:18:   required from here
  140 |     virtual void inv_hessian_gradient(
      |                  ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:149:25:   required from ‘void adelie_core::glm::GlmBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  148 |         inv_hess_grad = grad / (
      |                                ~
  149 |             hess.max(0) +
      |             ~~~~~~~~~~~~^
  150 |             value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  151 |         );
      |         ~                
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:140:18:   required from here
  140 |     virtual void inv_hessian_gradient(
      |                  ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:148:30:   required from ‘void adelie_core::glm::GlmBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  148 |         inv_hess_grad = grad / (
      |                         ~~~~~^~~
  149 |             hess.max(0) +
      |             ~~~~~~~~~~~~~     
  150 |             value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  151 |         );
      |         ~                     
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:140:18:   required from here
  140 |     virtual void inv_hessian_gradient(
      |                  ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:30:38:   required from ‘void adelie_core::glm::GlmPoisson<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   30 |         grad = weights * (y - eta.exp());
      |                               ~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:24:10:   required from here
   24 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:30:29:   required from ‘void adelie_core::glm::GlmPoisson<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   30 |         grad = weights * (y - eta.exp());
      |                          ~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:24:10:   required from here
   24 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:30:24:   required from ‘void adelie_core::glm::GlmPoisson<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   30 |         grad = weights * (y - eta.exp());
      |                ~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:24:10:   required from here
   24 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:40:24:   required from ‘void adelie_core::glm::GlmPoisson<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   40 |         hess = weights * y - grad;
      |                ~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:33:10:   required from here
   33 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:40:28:   required from ‘void adelie_core::glm::GlmPoisson<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   40 |         hess = weights * y - grad;
      |                ~~~~~~~~~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:33:10:   required from here
   33 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:49:29:   required from ‘typename adelie_core::glm::GlmPoisson<ValueType>::base_t::value_t adelie_core::glm::GlmPoisson<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   49 |         return (weights * ((-eta).min(std::numeric_limits<value_t>::max()) * y + eta.exp())).sum();
      |                            ~^~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:43:13:   required from here
   43 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:49:38:   required from ‘typename adelie_core::glm::GlmPoisson<ValueType>::base_t::value_t adelie_core::glm::GlmPoisson<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   49 |         return (weights * ((-eta).min(std::numeric_limits<value_t>::max()) * y + eta.exp())).sum();
      |                            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:43:13:   required from here
   43 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:49:76:   required from ‘typename adelie_core::glm::GlmPoisson<ValueType>::base_t::value_t adelie_core::glm::GlmPoisson<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   49 |         return (weights * ((-eta).min(std::numeric_limits<value_t>::max()) * y + eta.exp())).sum();
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:43:13:   required from here
   43 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:49:80:   required from ‘typename adelie_core::glm::GlmPoisson<ValueType>::base_t::value_t adelie_core::glm::GlmPoisson<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   49 |         return (weights * ((-eta).min(std::numeric_limits<value_t>::max()) * y + eta.exp())).sum();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:43:13:   required from here
   43 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:49:25:   required from ‘typename adelie_core::glm::GlmPoisson<ValueType>::base_t::value_t adelie_core::glm::GlmPoisson<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   49 |         return (weights * ((-eta).min(std::numeric_limits<value_t>::max()) * y + eta.exp())).sum();
      |                ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:43:13:   required from here
   43 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:54:35:   required from ‘typename adelie_core::glm::GlmPoisson<ValueType>::base_t::value_t adelie_core::glm::GlmPoisson<ValueType>::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>]’
   54 |         return (weights * ((-y.log()).min(std::numeric_limits<value_t>::max()) * y + y)).sum();
      |                              ~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:52:13:   required from here
   52 |     value_t loss_full() override
      |             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:54:29:   required from ‘typename adelie_core::glm::GlmPoisson<ValueType>::base_t::value_t adelie_core::glm::GlmPoisson<ValueType>::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>]’
   54 |         return (weights * ((-y.log()).min(std::numeric_limits<value_t>::max()) * y + y)).sum();
      |                            ~^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:52:13:   required from here
   52 |     value_t loss_full() override
      |             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:54:42:   required from ‘typename adelie_core::glm::GlmPoisson<ValueType>::base_t::value_t adelie_core::glm::GlmPoisson<ValueType>::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>]’
   54 |         return (weights * ((-y.log()).min(std::numeric_limits<value_t>::max()) * y + y)).sum();
      |                            ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:52:13:   required from here
   52 |     value_t loss_full() override
      |             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:54:80:   required from ‘typename adelie_core::glm::GlmPoisson<ValueType>::base_t::value_t adelie_core::glm::GlmPoisson<ValueType>::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>]’
   54 |         return (weights * ((-y.log()).min(std::numeric_limits<value_t>::max()) * y + y)).sum();
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:52:13:   required from here
   52 |     value_t loss_full() override
      |             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:54:84:   required from ‘typename adelie_core::glm::GlmPoisson<ValueType>::base_t::value_t adelie_core::glm::GlmPoisson<ValueType>::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>]’
   54 |         return (weights * ((-y.log()).min(std::numeric_limits<value_t>::max()) * y + y)).sum();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:52:13:   required from here
   52 |     value_t loss_full() override
      |             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:54:25:   required from ‘typename adelie_core::glm::GlmPoisson<ValueType>::base_t::value_t adelie_core::glm::GlmPoisson<ValueType>::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>]’
   54 |         return (weights * ((-y.log()).min(std::numeric_limits<value_t>::max()) * y + y)).sum();
      |                ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:52:13:   required from here
   52 |     value_t loss_full() override
      |             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:30:29:   required from ‘void adelie_core::glm::GlmGaussian<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   30 |         grad = weights * (y - eta);
      |                          ~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:24:10:   required from here
   24 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:30:24:   required from ‘void adelie_core::glm::GlmGaussian<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   30 |         grad = weights * (y - eta);
      |                ~~~~~~~~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:24:10:   required from here
   24 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:48:44:   required from ‘typename adelie_core::glm::GlmGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmGaussian<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   48 |         return (weights * (0.5 * eta.square() - y * eta)).sum();
      |                                  ~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:43:13:   required from here
   43 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:48:32:   required from ‘typename adelie_core::glm::GlmGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmGaussian<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   48 |         return (weights * (0.5 * eta.square() - y * eta)).sum();
      |                            ~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:43:13:   required from here
   43 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:48:51:   required from ‘typename adelie_core::glm::GlmGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmGaussian<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   48 |         return (weights * (0.5 * eta.square() - y * eta)).sum();
      |                                                 ~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:43:13:   required from here
   43 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:48:47:   required from ‘typename adelie_core::glm::GlmGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmGaussian<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   48 |         return (weights * (0.5 * eta.square() - y * eta)).sum();
      |                           ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:43:13:   required from here
   43 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:48:25:   required from ‘typename adelie_core::glm::GlmGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmGaussian<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   48 |         return (weights * (0.5 * eta.square() - y * eta)).sum();
      |                ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:43:13:   required from here
   43 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:53:32:   required from ‘typename adelie_core::glm::GlmGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmGaussian<ValueType>::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>]’
   53 |         return -0.5 * (y.square() * weights).sum();
      |                        ~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:51:13:   required from here
   51 |     value_t loss_full() override
      |             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:53:35:   required from ‘typename adelie_core::glm::GlmGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmGaussian<ValueType>::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>]’
   53 |         return -0.5 * (y.square() * weights).sum();
      |                       ~~~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:51:13:   required from here
   51 |     value_t loss_full() override
      |             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:399:21:   required from ‘void adelie_core::glm::GlmCox<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  399 |         z = weights * eta.exp();
      |             ~~~~~~~~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10:   required from here
  391 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:424:48:   required from ‘void adelie_core::glm::GlmCox<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  424 |         risk_total_to = risk_sum_to - scale_to * ties_risk_sum_to;
      |                                       ~~~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10:   required from here
  391 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:424:37:   required from ‘void adelie_core::glm::GlmCox<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  424 |         risk_total_to = risk_sum_to - scale_to * ties_risk_sum_to;
      |                         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10:   required from here
  391 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:428:27:   required from ‘void adelie_core::glm::GlmCox<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  428 |         _v_to = status_to * weights_mean_to / (
      |                 ~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10:   required from here
  391 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   required from ‘struct Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >::CastXpr<double>’
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:429:96:   required from ‘void adelie_core::glm::GlmCox<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  429 |             risk_total_to + ((status_to == 0) || (weights_mean_to == 0)).template cast<value_t>()
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10:   required from here
  391 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:429:27:   required from ‘void adelie_core::glm::GlmCox<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  428 |         _v_to = status_to * weights_mean_to / (
      |                                               ~
  429 |             risk_total_to + ((status_to == 0) || (weights_mean_to == 0)).template cast<value_t>()
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  430 |         );
      |         ~                  
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10:   required from here
  391 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:428:45:   required from ‘void adelie_core::glm::GlmCox<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  428 |         _v_to = status_to * weights_mean_to / (
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
  429 |             risk_total_to + ((status_to == 0) || (weights_mean_to == 0)).template cast<value_t>()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  430 |         );
      |         ~                                    
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10:   required from here
  391 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:442:40:   required from ‘void adelie_core::glm::GlmCox<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  442 |         grad = weights * status - grad * z;
      |                                   ~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10:   required from here
  391 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:442:33:   required from ‘void adelie_core::glm::GlmCox<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  442 |         grad = weights * status - grad * z;
      |                ~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10:   required from here
  391 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:484:33:   required from ‘void adelie_core::glm::GlmCox<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  484 |             risk_total_to.square() + ((status_to == 0) || (weights_mean_to == 0)).template cast<value_t>()
      |             ~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:445:10:   required from here
  445 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:484:36:   required from ‘void adelie_core::glm::GlmCox<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |         _v_to = status_to * weights_mean_to / (
      |                                               ~
  484 |             risk_total_to.square() + ((status_to == 0) || (weights_mean_to == 0)).template cast<value_t>()
      |             ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  485 |         );
      |         ~                           
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:445:10:   required from here
  445 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_or_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:483:45:   required from ‘void adelie_core::glm::GlmCox<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  483 |         _v_to = status_to * weights_mean_to / (
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
  484 |             risk_total_to.square() + ((status_to == 0) || (weights_mean_to == 0)).template cast<value_t>()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  485 |         );
      |         ~                                    
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:445:10:   required from here
  445 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:491:32:   required from ‘void adelie_core::glm::GlmCox<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  491 |         _v_to *= scale_to * (2 - scale_to);
      |                             ~~~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:445:10:   required from here
  445 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:491:27:   required from ‘void adelie_core::glm::GlmCox<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  491 |         _v_to *= scale_to * (2 - scale_to);
      |                  ~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:445:10:   required from here
  445 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:497:47:   required from ‘void adelie_core::glm::GlmCox<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |         hess = weights * status - grad - hess * z.square();
      |                                          ~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:445:10:   required from here
  445 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:497:40:   required from ‘void adelie_core::glm::GlmCox<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  497 |         hess = weights * status - grad - hess * z.square();
      |                ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:445:10:   required from here
  445 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:509:27:   required from ‘typename adelie_core::glm::GlmCox<ValueType>::base_t::value_t adelie_core::glm::GlmCox<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  509 |         z = weights * (eta-eta_max).exp();
      |                       ~~~~^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13:   required from here
  500 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:509:40:   required from ‘typename adelie_core::glm::GlmCox<ValueType>::base_t::value_t adelie_core::glm::GlmCox<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  509 |         z = weights * (eta-eta_max).exp();
      |                       ~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13:   required from here
  500 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:509:21:   required from ‘typename adelie_core::glm::GlmCox<ValueType>::base_t::value_t adelie_core::glm::GlmCox<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  509 |         z = weights * (eta-eta_max).exp();
      |             ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13:   required from here
  500 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:532:33:   required from ‘typename adelie_core::glm::GlmCox<ValueType>::base_t::value_t adelie_core::glm::GlmCox<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  532 |             - (status * weights * (eta-eta_max)).sum()
      |               ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13:   required from here
  500 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:534:64:   required from ‘typename adelie_core::glm::GlmCox<ValueType>::base_t::value_t adelie_core::glm::GlmCox<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  534 |                 (risk_sum_to - scale_to * ties_risk_sum_to).max(0).log().max(neg_max)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13:   required from here
  500 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:534:71:   required from ‘typename adelie_core::glm::GlmCox<ValueType>::base_t::value_t adelie_core::glm::GlmCox<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  534 |                 (risk_sum_to - scale_to * ties_risk_sum_to).max(0).log().max(neg_max)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13:   required from here
  500 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:534:77:   required from ‘typename adelie_core::glm::GlmCox<ValueType>::base_t::value_t adelie_core::glm::GlmCox<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  534 |                 (risk_sum_to - scale_to * ties_risk_sum_to).max(0).log().max(neg_max)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13:   required from here
  500 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:533:44:   required from ‘typename adelie_core::glm::GlmCox<ValueType>::base_t::value_t adelie_core::glm::GlmCox<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  533 |             + (status_to * weights_mean_to *
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  534 |                 (risk_sum_to - scale_to * ties_risk_sum_to).max(0).log().max(neg_max)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  535 |             ).sum()
      |             ~                               
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13:   required from here
  500 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:544:48:   required from ‘typename adelie_core::glm::GlmCox<ValueType>::base_t::value_t adelie_core::glm::GlmCox<ValueType>::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>]’
  544 |             (weights_size_to * weights_mean_to * (1 - scale_to)).log().max(most_neg)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:539:13:   required from here
  539 |     value_t loss_full() override
      |             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:544:69:   required from ‘typename adelie_core::glm::GlmCox<ValueType>::base_t::value_t adelie_core::glm::GlmCox<ValueType>::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>]’
  544 |             (weights_size_to * weights_mean_to * (1 - scale_to)).log().max(most_neg)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:539:13:   required from here
  539 |     value_t loss_full() override
      |             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:544:75:   required from ‘typename adelie_core::glm::GlmCox<ValueType>::base_t::value_t adelie_core::glm::GlmCox<ValueType>::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>]’
  544 |             (weights_size_to * weights_mean_to * (1 - scale_to)).log().max(most_neg)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:539:13:   required from here
  539 |     value_t loss_full() override
      |             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:543:41:   required from ‘typename adelie_core::glm::GlmCox<ValueType>::base_t::value_t adelie_core::glm::GlmCox<ValueType>::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>]’
  542 |         return (
      |                ~                         
  543 |             weights_mean_to * status_to *
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  544 |             (weights_size_to * weights_mean_to * (1 - scale_to)).log().max(most_neg)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  545 |         ).sum();
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:539:13:   required from here
  539 |     value_t loss_full() override
      |             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:107:30:   required from ‘static auto adelie_core::glm::GlmBinomialProbit<ValueType>::std_cdf(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  107 |         return 0.5 * (1 + (x / sqrt_2).erf());
      |                           ~~~^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:136:23:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  136 |         grad = std_cdf(eta);
      |                ~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10:   required from here
  129 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_erf_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_erf_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_erf_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_erf_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_erf_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:107:43:   required from ‘static auto adelie_core::glm::GlmBinomialProbit<ValueType>::std_cdf(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  107 |         return 0.5 * (1 + (x / sqrt_2).erf());
      |                           ~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:136:23:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  136 |         grad = std_cdf(eta);
      |                ~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10:   required from here
  129 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_erf_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_erf_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_erf_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_erf_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_erf_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:107:25:   required from ‘static auto adelie_core::glm::GlmBinomialProbit<ValueType>::std_cdf(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  107 |         return 0.5 * (1 + (x / sqrt_2).erf());
      |                      ~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:136:23:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  136 |         grad = std_cdf(eta);
      |                ~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10:   required from here
  129 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_erf_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_erf_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_erf_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_erf_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_erf_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:107:20:   required from ‘static auto adelie_core::glm::GlmBinomialProbit<ValueType>::std_cdf(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  107 |         return 0.5 * (1 + (x / sqrt_2).erf());
      |                ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:136:23:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  136 |         grad = std_cdf(eta);
      |                ~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10:   required from here
  129 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:115:54:   required from ‘static auto adelie_core::glm::GlmBinomialProbit<ValueType>::std_pdf(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  115 |         return sqrt_2pi_inv * (-0.5 * x.square()).exp();
      |                               ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:137:33:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  137 |         grad = weights * std_pdf(eta) * (
      |                          ~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10:   required from here
  129 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:115:29:   required from ‘static auto adelie_core::glm::GlmBinomialProbit<ValueType>::std_pdf(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  115 |         return sqrt_2pi_inv * (-0.5 * x.square()).exp();
      |                ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:137:33:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  137 |         grad = weights * std_pdf(eta) * (
      |                          ~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10:   required from here
  129 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:137:24:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  137 |         grad = weights * std_pdf(eta) * (
      |                ~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10:   required from here
  129 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:20:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  138 |             y * (1 / grad).min(max) - (1-y) * (1 / (1-grad)).min(max)
      |                 ~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10:   required from here
  129 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:31:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  138 |             y * (1 / grad).min(max) - (1-y) * (1 / (1-grad)).min(max)
      |                 ~~~~~~~~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10:   required from here
  129 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:15:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  138 |             y * (1 / grad).min(max) - (1-y) * (1 / (1-grad)).min(max)
      |             ~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10:   required from here
  129 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:41:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  138 |             y * (1 / grad).min(max) - (1-y) * (1 / (1-grad)).min(max)
      |                                       ~~^~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10:   required from here
  129 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:54:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  138 |             y * (1 / grad).min(max) - (1-y) * (1 / (1-grad)).min(max)
      |                                                    ~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10:   required from here
  129 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:50:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  138 |             y * (1 / grad).min(max) - (1-y) * (1 / (1-grad)).min(max)
      |                                               ~~~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10:   required from here
  129 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:65:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  138 |             y * (1 / grad).min(max) - (1-y) * (1 / (1-grad)).min(max)
      |                                               ~~~~~~~~~~~~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10:   required from here
  129 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:45:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  138 |             y * (1 / grad).min(max) - (1-y) * (1 / (1-grad)).min(max)
      |                                       ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10:   required from here
  129 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:37:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  137 |         grad = weights * std_pdf(eta) * (
      |                                         ~
  138 |             y * (1 / grad).min(max) - (1-y) * (1 / (1-grad)).min(max)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  139 |         );
      |         ~                            
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10:   required from here
  129 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:137:39:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  137 |         grad = weights * std_pdf(eta) * (
      |                ~~~~~~~~~~~~~~~~~~~~~~~^~~
  138 |             y * (1 / grad).min(max) - (1-y) * (1 / (1-grad)).min(max)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  139 |         );
      |         ~                              
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10:   required from here
  129 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:33:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  152 |             y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max)
      |                      ~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10:   required from here
  142 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:20:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  152 |             y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max)
      |                 ~~~^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10:   required from here
  142 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:40:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  152 |             y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10:   required from here
  142 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:15:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  152 |             y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max)
      |             ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10:   required from here
  142 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:76:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  152 |             y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max)
      |                                                             ~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10:   required from here
  142 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:59:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  152 |             y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max)
      |                                                        ~~~^~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10:   required from here
  142 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:83:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  152 |             y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max)
      |                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10:   required from here
  142 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:54:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  152 |             y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max)
      |                                                ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10:   required from here
  142 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:46:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  151 |         hess = weights * (
      |                          ~                    
  152 |             y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  153 |         ) * std_pdf(eta).square() + eta * grad;
      |         ~                                     
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10:   required from here
  142 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:151:24:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  151 |         hess = weights * (
      |                ~~~~~~~~^~~
  152 |             y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  153 |         ) * std_pdf(eta).square() + eta * grad;
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10:   required from here
  142 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:153:32:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  153 |         ) * std_pdf(eta).square() + eta * grad;
      |             ~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10:   required from here
  142 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:153:11:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  151 |         hess = weights * (
      |                ~~~~~~~~~~~
  152 |             y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  153 |         ) * std_pdf(eta).square() + eta * grad;
      |         ~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10:   required from here
  142 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:153:41:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  153 |         ) * std_pdf(eta).square() + eta * grad;
      |                                     ~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10:   required from here
  142 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:153:35:   required from ‘void adelie_core::glm::GlmBinomialProbit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  151 |         hess = weights * (
      |                ~~~~~~~~~~~         
  152 |             y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  153 |         ) * std_pdf(eta).square() + eta * grad;
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10:   required from here
  142 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:164:26:   required from ‘typename adelie_core::glm::GlmBinomialProbit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialProbit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  164 |             y * _buff.log().max(-max) + (1-y) * (1-_buff).log().max(-max)
      |                 ~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13:   required from here
  156 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:164:32:   required from ‘typename adelie_core::glm::GlmBinomialProbit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialProbit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  164 |             y * _buff.log().max(-max) + (1-y) * (1-_buff).log().max(-max)
      |                 ~~~~~~~~~~~~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13:   required from here
  156 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:164:15:   required from ‘typename adelie_core::glm::GlmBinomialProbit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialProbit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  164 |             y * _buff.log().max(-max) + (1-y) * (1-_buff).log().max(-max)
      |             ~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13:   required from here
  156 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:164:62:   required from ‘typename adelie_core::glm::GlmBinomialProbit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialProbit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  164 |             y * _buff.log().max(-max) + (1-y) * (1-_buff).log().max(-max)
      |                                                 ~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13:   required from here
  156 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:164:68:   required from ‘typename adelie_core::glm::GlmBinomialProbit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialProbit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  164 |             y * _buff.log().max(-max) + (1-y) * (1-_buff).log().max(-max)
      |                                                 ~~~~~~~~~~~~~~~~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13:   required from here
  156 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:164:47:   required from ‘typename adelie_core::glm::GlmBinomialProbit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialProbit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  164 |             y * _buff.log().max(-max) + (1-y) * (1-_buff).log().max(-max)
      |                                         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13:   required from here
  156 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:164:39:   required from ‘typename adelie_core::glm::GlmBinomialProbit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialProbit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  163 |         return -(weights * (
      |                            ~           
  164 |             y * _buff.log().max(-max) + (1-y) * (1-_buff).log().max(-max)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  165 |         )).sum();
      |         ~                              
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13:   required from here
  156 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:163:26:   required from ‘typename adelie_core::glm::GlmBinomialProbit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialProbit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  163 |         return -(weights * (
      |                 ~~~~~~~~~^~~
  164 |             y * _buff.log().max(-max) + (1-y) * (1-_buff).log().max(-max)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  165 |         )).sum();
      |         ~~                
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13:   required from here
  156 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:58:50:   required from ‘void adelie_core::glm::GlmBinomialLogit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   58 |         grad = weights * (y - 1 / (1 + (-eta).exp()));
      |                                        ~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:52:10:   required from here
   52 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:58:38:   required from ‘void adelie_core::glm::GlmBinomialLogit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   58 |         grad = weights * (y - 1 / (1 + (-eta).exp()));
      |                                   ~~~^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:52:10:   required from here
   52 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:58:33:   required from ‘void adelie_core::glm::GlmBinomialLogit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   58 |         grad = weights * (y - 1 / (1 + (-eta).exp()));
      |                               ~~^~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:52:10:   required from here
   52 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:58:29:   required from ‘void adelie_core::glm::GlmBinomialLogit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   58 |         grad = weights * (y - 1 / (1 + (-eta).exp()));
      |                          ~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:52:10:   required from here
   52 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:58:24:   required from ‘void adelie_core::glm::GlmBinomialLogit<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   58 |         grad = weights * (y - 1 / (1 + (-eta).exp()));
      |                ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:52:10:   required from here
   52 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:70:32:   required from ‘void adelie_core::glm::GlmBinomialLogit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   70 |         hess = (hess * (weights-hess)) / (weights + (weights <= 0).template cast<value_t>());
      |                        ~~~~~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:61:10:   required from here
   61 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:70:22:   required from ‘void adelie_core::glm::GlmBinomialLogit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   70 |         hess = (hess * (weights-hess)) / (weights + (weights <= 0).template cast<value_t>());
      |                ~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:61:10:   required from here
   61 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:70:40:   required from ‘void adelie_core::glm::GlmBinomialLogit<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   70 |         hess = (hess * (weights-hess)) / (weights + (weights <= 0).template cast<value_t>());
      |                ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:61:10:   required from here
   61 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   required from ‘struct Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >::CastXpr<double>’
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:80:46:   required from ‘typename adelie_core::glm::GlmBinomialLogit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialLogit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   80 |             ((eta > 0).template cast<value_t>() - y) * eta.min(max).max(-max) +
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13:   required from here
   73 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:80:49:   required from ‘typename adelie_core::glm::GlmBinomialLogit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialLogit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   80 |             ((eta > 0).template cast<value_t>() - y) * eta.min(max).max(-max) +
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13:   required from here
   73 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:80:63:   required from ‘typename adelie_core::glm::GlmBinomialLogit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialLogit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   80 |             ((eta > 0).template cast<value_t>() - y) * eta.min(max).max(-max) +
      |                                                        ~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13:   required from here
   73 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:80:72:   required from ‘typename adelie_core::glm::GlmBinomialLogit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialLogit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   80 |             ((eta > 0).template cast<value_t>() - y) * eta.min(max).max(-max) +
      |                                                        ~~~~~~~~~~~~~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13:   required from here
   73 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:80:54:   required from ‘typename adelie_core::glm::GlmBinomialLogit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialLogit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   80 |             ((eta > 0).template cast<value_t>() - y) * eta.min(max).max(-max) +
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13:   required from here
   73 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:81:27:   required from ‘typename adelie_core::glm::GlmBinomialLogit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialLogit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   81 |             (1 + (-eta.abs()).exp()).log()
      |                    ~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13:   required from here
   73 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:81:19:   required from ‘typename adelie_core::glm::GlmBinomialLogit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialLogit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   81 |             (1 + (-eta.abs()).exp()).log()
      |                  ~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13:   required from here
   73 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:81:34:   required from ‘typename adelie_core::glm::GlmBinomialLogit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialLogit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   81 |             (1 + (-eta.abs()).exp()).log()
      |                  ~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13:   required from here
   73 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:81:16:   required from ‘typename adelie_core::glm::GlmBinomialLogit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialLogit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   81 |             (1 + (-eta.abs()).exp()).log()
      |             ~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13:   required from here
   73 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:81:41:   required from ‘typename adelie_core::glm::GlmBinomialLogit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialLogit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   81 |             (1 + (-eta.abs()).exp()).log()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13:   required from here
   73 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:80:79:   required from ‘typename adelie_core::glm::GlmBinomialLogit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialLogit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   79 |         return (weights * (
      |                           ~                                                    
   80 |             ((eta > 0).template cast<value_t>() - y) * eta.min(max).max(-max) +
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   81 |             (1 + (-eta.abs()).exp()).log()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                     
   82 |         )).sum();
      |         ~                                                                      
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13:   required from here
   73 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:79:25:   required from ‘typename adelie_core::glm::GlmBinomialLogit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialLogit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   79 |         return (weights * (
      |                ~~~~~~~~~^~~
   80 |             ((eta > 0).template cast<value_t>() - y) * eta.min(max).max(-max) +
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   81 |             (1 + (-eta.abs()).exp()).log()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   82 |         )).sum();
      |         ~~               
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13:   required from here
   73 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 1, -1>’
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:584:35:   required from ‘ExpressionType& Eigen::VectorwiseOp<ExpressionType, Direction>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >; ExpressionType = Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; int Direction = 0]’
  584 |       return m_matrix = extendedTo(other.derived());
      |                         ~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:41:24:   required from ‘void adelie_core::glm::GlmMultiGaussian<ValueType>::hessian(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   41 |         hess.colwise() = weights.matrix().transpose().array() / hess.cols();
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:34:10:   required from here
   34 |     void hessian(
      |          ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:134:20:   required from ‘void adelie_core::glm::cox::_at_risk_sum(const ASType&, const ATType&, const SType&, const TType&, const UType&, OutType&, Out1Type&, Out2Type&) [with ASType = adelie_core::glm::GlmCox<double>::gradient(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >)::<lambda(auto:3)>; ATType = adelie_core::glm::GlmCox<double>::gradient(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >)::<lambda(auto:4)>; SType = Eigen::Array<double, 1, -1, 1, 1, -1>; TType = Eigen::Array<double, 1, -1, 1, 1, -1>; UType = Eigen::Array<double, 1, -1, 1, 1, -1>; OutType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Out1Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Out2Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  134 |     out = out1.head(m) - out2.head(m);
      |           ~~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:405:26:   required from ‘void adelie_core::glm::GlmCox<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  405 |         cox::_at_risk_sum(
      |         ~~~~~~~~~~~~~~~~~^
  406 |             [&](auto i) { return z[start_order[i]]; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  407 |             [&](auto i) { return z[stop_order[i]]; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  408 |             start_so,
      |             ~~~~~~~~~     
  409 |             stop_to,
      |             ~~~~~~~~      
  410 |             stop_to,
      |             ~~~~~~~~      
  411 |             risk_sum_to,
      |             ~~~~~~~~~~~~  
  412 |             risk_sum1_to,
      |             ~~~~~~~~~~~~~ 
  413 |             risk_sum2_to
      |             ~~~~~~~~~~~~  
  414 |         );
      |         ~                 
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10:   required from here
  391 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:134:24:   required from ‘void adelie_core::glm::cox::_at_risk_sum(const ASType&, const ATType&, const SType&, const TType&, const UType&, OutType&, Out1Type&, Out2Type&) [with ASType = adelie_core::glm::GlmCox<double>::gradient(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >)::<lambda(auto:3)>; ATType = adelie_core::glm::GlmCox<double>::gradient(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >)::<lambda(auto:4)>; SType = Eigen::Array<double, 1, -1, 1, 1, -1>; TType = Eigen::Array<double, 1, -1, 1, 1, -1>; UType = Eigen::Array<double, 1, -1, 1, 1, -1>; OutType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Out1Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Out2Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  134 |     out = out1.head(m) - out2.head(m);
      |           ~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:405:26:   required from ‘void adelie_core::glm::GlmCox<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  405 |         cox::_at_risk_sum(
      |         ~~~~~~~~~~~~~~~~~^
  406 |             [&](auto i) { return z[start_order[i]]; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  407 |             [&](auto i) { return z[stop_order[i]]; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  408 |             start_so,
      |             ~~~~~~~~~     
  409 |             stop_to,
      |             ~~~~~~~~      
  410 |             stop_to,
      |             ~~~~~~~~      
  411 |             risk_sum_to,
      |             ~~~~~~~~~~~~  
  412 |             risk_sum1_to,
      |             ~~~~~~~~~~~~~ 
  413 |             risk_sum2_to
      |             ~~~~~~~~~~~~  
  414 |         );
      |         ~                 
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10:   required from here
  391 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_maxCoeff<double, double>, 1>; Func = assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_maxCoeff<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_maxCoeff<double, double>, 1>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff<double, double>, 1>; Derived = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:43:17:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   43 |         eta_max = eta.rowwise().maxCoeff();
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10:   required from here
   36 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >; Src = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Func = assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >; Src = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >; Src = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_glm.h:42:14:   required from ‘void adelie_core::glm::GlmS4<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   42 |         grad = Rcpp::as<Eigen::Map<colvec_value_t>>(
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             ADELIE_CORE_S4_PURE_OVERRIDE(gradient, _glm, eta_r)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   44 |         );
      |         ~     
rcpp_glm.h:36:10:   required from here
   36 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:49:97:   required from ‘typename adelie_core::glm::GlmPoisson<ValueType>::base_t::value_t adelie_core::glm::GlmPoisson<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   49 |         return (weights * ((-eta).min(std::numeric_limits<value_t>::max()) * y + eta.exp())).sum();
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:43:13:   required from here
   43 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:54:93:   required from ‘typename adelie_core::glm::GlmPoisson<ValueType>::base_t::value_t adelie_core::glm::GlmPoisson<ValueType>::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>]’
   54 |         return (weights * ((-y.log()).min(std::numeric_limits<value_t>::max()) * y + y)).sum();
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:52:13:   required from here
   52 |     value_t loss_full() override
      |             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:48:62:   required from ‘typename adelie_core::glm::GlmGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmGaussian<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   48 |         return (weights * (0.5 * eta.square() - y * eta)).sum();
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:43:13:   required from here
   43 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:53:49:   required from ‘typename adelie_core::glm::GlmGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmGaussian<ValueType>::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>]’
   53 |         return -0.5 * (y.square() * weights).sum();
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:51:13:   required from here
   51 |     value_t loss_full() override
      |             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:532:53:   required from ‘typename adelie_core::glm::GlmCox<ValueType>::base_t::value_t adelie_core::glm::GlmCox<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  532 |             - (status * weights * (eta-eta_max)).sum()
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13:   required from here
  500 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:535:18:   required from ‘typename adelie_core::glm::GlmCox<ValueType>::base_t::value_t adelie_core::glm::GlmCox<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  533 |             + (status_to * weights_mean_to *
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  534 |                 (risk_sum_to - scale_to * ties_risk_sum_to).max(0).log().max(neg_max)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  535 |             ).sum()
      |             ~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13:   required from here
  500 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:545:14:   required from ‘typename adelie_core::glm::GlmCox<ValueType>::base_t::value_t adelie_core::glm::GlmCox<ValueType>::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>]’
  542 |         return (
      |                ~
  543 |             weights_mean_to * status_to *
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  544 |             (weights_size_to * weights_mean_to * (1 - scale_to)).log().max(most_neg)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  545 |         ).sum();
      |         ~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:539:13:   required from here
  539 |     value_t loss_full() override
      |             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:165:15:   required from ‘typename adelie_core::glm::GlmBinomialProbit<ValueType>::base_t::value_t adelie_core::glm::GlmBinomialProbit<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  163 |         return -(weights * (
      |                 ~~~~~~~~~~~~
  164 |             y * _buff.log().max(-max) + (1-y) * (1-_buff).log().max(-max)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  165 |         )).sum();
      |         ~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13:   required from here
  156 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:507:42:   required from ‘typename adelie_core::glm::GlmCox<ValueType>::base_t::value_t adelie_core::glm::GlmCox<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase<double>; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  507 |         const auto eta_max = eta.maxCoeff();
      |                              ~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13:   required from here
  500 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:381:23:   required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> >; CoeffReturnType = double; Eigen::Index = long int]’
  381 |   { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:202:33:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> > >; Scalar = double]’
  202 |     res = eval.coeffByOuterInner(0, 0);
      |           ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:52:14:   required from ‘typename adelie_core::glm::GlmMultiGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmMultiGaussian<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   49 |         return (
      |                ~
   50 |             weights.matrix().transpose().array() *
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   51 |             (0.5 * eta.square() - y * eta).rowwise().sum()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   52 |         ).sum() / y.cols();
      |         ~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13:   required from here
   44 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Derived = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:134:9:   required from ‘void adelie_core::glm::cox::_at_risk_sum(const ASType&, const ATType&, const SType&, const TType&, const UType&, OutType&, Out1Type&, Out2Type&) [with ASType = adelie_core::glm::GlmCox<double>::gradient(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >)::<lambda(auto:3)>; ATType = adelie_core::glm::GlmCox<double>::gradient(const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >)::<lambda(auto:4)>; SType = Eigen::Array<double, 1, -1, 1, 1, -1>; TType = Eigen::Array<double, 1, -1, 1, 1, -1>; UType = Eigen::Array<double, 1, -1, 1, 1, -1>; OutType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Out1Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Out2Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  134 |     out = out1.head(m) - out2.head(m);
      |     ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:405:26:   required from ‘void adelie_core::glm::GlmCox<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase<ValueType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmBase<ValueType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  405 |         cox::_at_risk_sum(
      |         ~~~~~~~~~~~~~~~~~^
  406 |             [&](auto i) { return z[start_order[i]]; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  407 |             [&](auto i) { return z[stop_order[i]]; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  408 |             start_so,
      |             ~~~~~~~~~     
  409 |             stop_to,
      |             ~~~~~~~~      
  410 |             stop_to,
      |             ~~~~~~~~      
  411 |             risk_sum_to,
      |             ~~~~~~~~~~~~  
  412 |             risk_sum1_to,
      |             ~~~~~~~~~~~~~ 
  413 |             risk_sum2_to
      |             ~~~~~~~~~~~~  
  414 |         );
      |         ~                 
../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10:   required from here
  391 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_maxCoeff<double, double>, 1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_maxCoeff<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_maxCoeff<double, double>, 1>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff<double, double>, 1>; Derived = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:43:17:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   43 |         eta_max = eta.rowwise().maxCoeff();
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10:   required from here
   36 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_sum<double, double>, 1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_sum<double, double>, 1>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:46:17:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   46 |         sum_exp = grad.rowwise().sum();
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10:   required from here
   36 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:381:23:   required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; CoeffReturnType = double; Eigen::Index = long int]’
  381 |   { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:202:33:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > > >; Scalar = double]’
  202 |     res = eval.coeffByOuterInner(0, 0);
      |           ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:87:14:   required from ‘typename adelie_core::glm::GlmMultinomial<ValueType>::base_t::value_t adelie_core::glm::GlmMultinomial<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   82 |         return (
      |                ~
   83 |             weights.matrix().transpose().array() * (
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   84 |                 - (y * eta_shift).rowwise().sum()
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   85 |                 + eta_shift.exp().rowwise().sum().log()
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   86 |             )
      |             ~ 
   87 |         ).sum() / y.cols();
      |         ~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13:   required from here
   73 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69:   required from ‘Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::CoeffReturnType Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::coeff(Eigen::Index, Eigen::Index) const [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; Lhs = const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; Rhs = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > >; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs = Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > >; CoeffReturnType = double; Eigen::Index = long int]’
  769 |     return m_d.func()(m_d.lhsImpl.coeff(row, col), m_d.rhsImpl.coeff(row, col));
      |                                                    ~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:381:23:   required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; CoeffReturnType = double; Eigen::Index = long int]’
  381 |   { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:202:33:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > > >; Scalar = double]’
  202 |     res = eval.coeffByOuterInner(0, 0);
      |           ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:87:14:   required from ‘typename adelie_core::glm::GlmMultinomial<ValueType>::base_t::value_t adelie_core::glm::GlmMultinomial<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   82 |         return (
      |                ~
   83 |             weights.matrix().transpose().array() * (
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   84 |                 - (y * eta_shift).rowwise().sum()
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   85 |                 + eta_shift.exp().rowwise().sum().log()
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   86 |             )
      |             ~ 
   87 |         ).sum() / y.cols();
      |         ~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13:   required from here
   73 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:381:23:   required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> >; CoeffReturnType = double; Eigen::Index = long int]’
  381 |   { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:202:33:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> > >; Scalar = double]’
  202 |     res = eval.coeffByOuterInner(0, 0);
      |           ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:52:14:   required from ‘typename adelie_core::glm::GlmMultiGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmMultiGaussian<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   49 |         return (
      |                ~
   50 |             weights.matrix().transpose().array() *
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   51 |             (0.5 * eta.square() - y * eta).rowwise().sum()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   52 |         ).sum() / y.cols();
      |         ~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13:   required from here
   44 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_sum<double, double>, 1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_sum<double, double>, 1>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:46:17:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   46 |         sum_exp = grad.rowwise().sum();
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10:   required from here
   36 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:381:23:   required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; CoeffReturnType = double; Eigen::Index = long int]’
  381 |   { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:202:33:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > > >; Scalar = double]’
  202 |     res = eval.coeffByOuterInner(0, 0);
      |           ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:87:14:   required from ‘typename adelie_core::glm::GlmMultinomial<ValueType>::base_t::value_t adelie_core::glm::GlmMultinomial<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   82 |         return (
      |                ~
   83 |             weights.matrix().transpose().array() * (
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   84 |                 - (y * eta_shift).rowwise().sum()
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   85 |                 + eta_shift.exp().rowwise().sum().log()
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   86 |             )
      |             ~ 
   87 |         ).sum() / y.cols();
      |         ~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13:   required from here
   73 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69:   required from ‘Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::CoeffReturnType Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::coeff(Eigen::Index, Eigen::Index) const [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; Lhs = const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; Rhs = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > >; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs = Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > >; CoeffReturnType = double; Eigen::Index = long int]’
  769 |     return m_d.func()(m_d.lhsImpl.coeff(row, col), m_d.rhsImpl.coeff(row, col));
      |                                                    ~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:381:23:   required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; CoeffReturnType = double; Eigen::Index = long int]’
  381 |   { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:202:33:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > > >; Scalar = double]’
  202 |     res = eval.coeffByOuterInner(0, 0);
      |           ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:87:14:   required from ‘typename adelie_core::glm::GlmMultinomial<ValueType>::base_t::value_t adelie_core::glm::GlmMultinomial<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   82 |         return (
      |                ~
   83 |             weights.matrix().transpose().array() * (
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   84 |                 - (y * eta_shift).rowwise().sum()
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   85 |                 + eta_shift.exp().rowwise().sum().log()
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   86 |             )
      |             ~ 
   87 |         ).sum() / y.cols();
      |         ~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13:   required from here
   73 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, 1, -1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:381:23:   required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> >; CoeffReturnType = double; Eigen::Index = long int]’
  381 |   { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:202:33:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> > >; Scalar = double]’
  202 |     res = eval.coeffByOuterInner(0, 0);
      |           ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum<double, double>, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:52:14:   required from ‘typename adelie_core::glm::GlmMultiGaussian<ValueType>::base_t::value_t adelie_core::glm::GlmMultiGaussian<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   49 |         return (
      |                ~
   50 |             weights.matrix().transpose().array() *
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   51 |             (0.5 * eta.square() - y * eta).rowwise().sum()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   52 |         ).sum() / y.cols();
      |         ~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13:   required from here
   44 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:116:1:   required from ‘ResultType Eigen::internal::member_maxCoeff<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_maxCoeff<double, double>, 1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_maxCoeff<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_maxCoeff<double, double>, 1>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff<double, double>, 1>; Derived = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:43:17:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   43 |         eta_max = eta.rowwise().maxCoeff();
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10:   required from here
   36 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_sum<double, double>, 1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_sum<double, double>, 1>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:46:17:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   46 |         sum_exp = grad.rowwise().sum();
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10:   required from here
   36 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:381:23:   required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; CoeffReturnType = double; Eigen::Index = long int]’
  381 |   { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:202:33:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > > >; Scalar = double]’
  202 |     res = eval.coeffByOuterInner(0, 0);
      |           ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:87:14:   required from ‘typename adelie_core::glm::GlmMultinomial<ValueType>::base_t::value_t adelie_core::glm::GlmMultinomial<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   82 |         return (
      |                ~
   83 |             weights.matrix().transpose().array() * (
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   84 |                 - (y * eta_shift).rowwise().sum()
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   85 |                 + eta_shift.exp().rowwise().sum().log()
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   86 |             )
      |             ~ 
   87 |         ).sum() / y.cols();
      |         ~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13:   required from here
   73 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69:   required from ‘Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::CoeffReturnType Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::coeff(Eigen::Index, Eigen::Index) const [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; Lhs = const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; Rhs = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > >; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs = Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > >; CoeffReturnType = double; Eigen::Index = long int]’
  769 |     return m_d.func()(m_d.lhsImpl.coeff(row, col), m_d.rhsImpl.coeff(row, col));
      |                                                    ~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:381:23:   required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; CoeffReturnType = double; Eigen::Index = long int]’
  381 |   { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:202:33:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > > >; Scalar = double]’
  202 |     res = eval.coeffByOuterInner(0, 0);
      |           ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:87:14:   required from ‘typename adelie_core::glm::GlmMultinomial<ValueType>::base_t::value_t adelie_core::glm::GlmMultinomial<ValueType>::loss(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase<double>; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   82 |         return (
      |                ~
   83 |             weights.matrix().transpose().array() * (
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   84 |                 - (y * eta_shift).rowwise().sum()
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   85 |                 + eta_shift.exp().rowwise().sum().log()
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   86 |             )
      |             ~ 
   87 |         ).sum() / y.cols();
      |         ~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13:   required from here
   73 |     value_t loss(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:116:1:   required from ‘ResultType Eigen::internal::member_maxCoeff<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_maxCoeff<double, double>, 1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_maxCoeff<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, member_maxCoeff<double, double>, 1>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff<double, double>, 1>; Derived = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:43:17:   required from ‘void adelie_core::glm::GlmMultinomial<ValueType>::gradient(const Eigen::Ref<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>&, Eigen::Ref<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t = Eigen::Array<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional<typename adelie_core::glm::GlmMultiBase<ValueType>::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   43 |         eta_max = eta.rowwise().maxCoeff();
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10:   required from here
   36 |     void gradient(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS  -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -fopenmp -fpic  -g -O2 -Wall -pedantic -mtune=native  -DR_NO_REMAP -c rcpp_io.cpp -o rcpp_io.o
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:28,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                 from decl.h:3,
                 from rcpp_io.h:2,
                 from rcpp_io.cpp:1:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 1, -1, 1, 1, -1>’
   45 | class Array
      |       ^~~~~
../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:91:40:   required from here
   91 |     Eigen::Ref<util::rowvec_type<double>> impute,
      |                                        ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 1, -1, 1, 1, -1>’
   45 | class Array
      |       ^~~~~
../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:91:40:   required from here
   91 |     Eigen::Ref<util::rowvec_type<double>> impute,
      |                                        ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from ‘class Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >’
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:93:1:   required from here
   93 | )
      | ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:329:77:   required from ‘class Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >’
  329 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
      |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:237:5:   required from here
  237 |     {
      |     ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   24 |                              ? PlainObjectType::ColsAtCompileTime
      |                                                 ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_io.h:29:5:   required from here
   29 |     {
      |     ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_io.h:29:5:   required from here
   29 |     {
      |     ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
  977 | struct evaluator<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71:   required from ‘struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
 1018 |     Flags = evaluator<Map<PlainObjectType, RefOptions, StrideType> >::Flags,
      |                                                                       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:344:23:   required from ‘std::tuple<long unsigned int, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double> > > > adelie_core::io::IOSNPUnphased<MmapPtrType>::write(const Eigen::Ref<const Eigen::Array<signed char, -1, -1, 0, -1, -1> >&, const std::string&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const [with MmapPtrType = std::shared_ptr<char>; std::string = std::__cxx11::basic_string<char>; size_t = long unsigned int]’
  344 |         compute_impute(calldata, impute_method, impute, n_threads);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_io.h:32:41:   required from here
   32 |         return std::get<0>(base_t::write(calldata8, impute_method, impute, n_threads));
      |                            ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:3,
                 from rcpp_io.h:3:
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp: In instantiation of ‘std::tuple<long unsigned int, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double> > > > adelie_core::io::IOSNPUnphased<MmapPtrType>::write(const Eigen::Ref<const Eigen::Array<signed char, -1, -1, 0, -1, -1> >&, const std::string&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const [with MmapPtrType = std::shared_ptr<char>; std::string = std::__cxx11::basic_string<char>; size_t = long unsigned int]’:
rcpp_io.h:32:41:   required from here
   32 |         return std::get<0>(base_t::write(calldata8, impute_method, impute, n_threads));
      |                            ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:91:43: note:   initializing argument 3 of ‘void adelie_core::io::compute_impute(const Eigen::Ref<const Eigen::Array<signed char, -1, -1, 0, -1, -1> >&, adelie_core::util::impute_method_type, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)’
   91 |     Eigen::Ref<util::rowvec_type<double>> impute,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS  -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -fopenmp -fpic  -g -O2 -Wall -pedantic -mtune=native  -DR_NO_REMAP -c rcpp_matrix.cpp -o rcpp_matrix.o
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:28,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                 from decl.h:3,
                 from rcpp_matrix.h:2,
                 from rcpp_matrix.cpp:1:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 1, -1, 1, 1, -1>’
   45 | class Array
      |       ^~~~~
../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:91:40:   required from here
   91 |     Eigen::Ref<util::rowvec_type<double>> impute,
      |                                        ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 1, -1, 1, 1, -1>’
   45 | class Array
      |       ^~~~~
../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:91:40:   required from here
   91 |     Eigen::Ref<util::rowvec_type<double>> impute,
      |                                        ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from ‘class Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >’
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:93:1:   required from here
   93 | )
      | ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:329:77:   required from ‘class Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >’
  329 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
      |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:237:5:   required from here
  237 |     {
      |     ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   24 |                              ? PlainObjectType::ColsAtCompileTime
      |                                                 ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_io.h:29:5:   required from here
   29 |     {
      |     ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_io.h:29:5:   required from here
   29 |     {
      |     ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_base.hpp:96:18:   required from ‘class adelie_core::matrix::MatrixCovBase<double, int>’
   96 |     virtual void to_dense(
      |                  ^~~~~~~~
rcpp_matrix.h:244:34:   required from here
  244 |     int cols() const { return ptr->cols(); }
      |                                  ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1, 1, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:186:18:   required from ‘class adelie_core::matrix::MatrixNaiveBase<double, int>’
  186 |     virtual void sp_btmul(
      |                  ^~~~~~~~
rcpp_matrix.h:269:34:   required from here
  269 |     int rows() const { return ptr->rows(); }
      |                                  ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
rcpp_matrix.h:289:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 1>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
rcpp_matrix.h:297:35:   required from here
  297 |         dense_64F_t outT(rows(), v.rows());
      |                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_matrix.h:299:40:   required from here
  299 |         Eigen::Map<rowmat_value_t> out(outT.data(), outT.cols(), outT.rows());
      |                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
rcpp_matrix.h:300:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:26:37:   required from ‘class adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>’
   26 |     const Eigen::Map<const dense_t> _mat;   // (n, d) underlying matrix
      |                                     ^~~~
rcpp_matrix.h:314:1:   required from here
  315 |     auto groups() const { return dynamic_cast<matrix_naive_interaction_dense_64F_t&>(*ptr).groups(); }
      |                                                                                          ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_matrix.cpp:25:35:   required from here
   25 |     const Eigen::Map<dense_64F_t> mat = args["mat"];
      |                                   ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
  977 | struct evaluator<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71:   required from ‘struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
 1018 |     Flags = evaluator<Map<PlainObjectType, RefOptions, StrideType> >::Flags,
      |                                                                       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:344:23:   required from ‘std::tuple<long unsigned int, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double> > > > adelie_core::io::IOSNPUnphased<MmapPtrType>::write(const Eigen::Ref<const Eigen::Array<signed char, -1, -1, 0, -1, -1> >&, const std::string&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const [with MmapPtrType = std::shared_ptr<char>; std::string = std::__cxx11::basic_string<char>; size_t = long unsigned int]’
  344 |         compute_impute(calldata, impute_method, impute, n_threads);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_io.h:32:41:   required from here
   32 |         return std::get<0>(base_t::write(calldata8, impute_method, impute, n_threads));
      |                            ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:3,
                 from rcpp_io.h:3,
                 from rcpp_matrix.h:4:
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp: In instantiation of ‘std::tuple<long unsigned int, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double> > > > adelie_core::io::IOSNPUnphased<MmapPtrType>::write(const Eigen::Ref<const Eigen::Array<signed char, -1, -1, 0, -1, -1> >&, const std::string&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t) const [with MmapPtrType = std::shared_ptr<char>; std::string = std::__cxx11::basic_string<char>; size_t = long unsigned int]’:
rcpp_io.h:32:41:   required from here
   32 |         return std::get<0>(base_t::write(calldata8, impute_method, impute, n_threads));
      |                            ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:91:43: note:   initializing argument 3 of ‘void adelie_core::io::compute_impute(const Eigen::Ref<const Eigen::Array<signed char, -1, -1, 0, -1, -1> >&, adelie_core::util::impute_method_type, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)’
   91 |     Eigen::Ref<util::rowvec_type<double>> impute,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 0>’
   50 | class SparseMapBase<Derived,ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7:   required from ‘class Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >’
  255 | class Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.hpp:24:38:   required from ‘class adelie_core::matrix::MatrixCovSparse<Eigen::SparseMatrix<double, 0, int>, int>’
   24 |     const Eigen::Map<const sparse_t> _mat;  // underlying sparse matrix
      |                                      ^~~~
/usr/include/c++/14/type_traits:1499:30:   required from ‘struct std::is_convertible<adelie_core::matrix::MatrixCovSparse<Eigen::SparseMatrix<double, 0, int>, int>*, adelie_core::matrix::MatrixCovBase<double, int>*>’
 1499 |     : public __bool_constant<__is_convertible(_From, _To)>
      |                              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/bits/shared_ptr_base.h:1270:12:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:1110:25:   required by substitution of ‘template<class _Tp, class ... _Args> using std::__is_constructible_impl = std::__bool_constant<__is_constructible(_Tp, _Args ...)> [with _Tp = std::__shared_ptr<adelie_core::matrix::MatrixCovBase<double, int>, __gnu_cxx::_S_atomic>; _Args = {const std::shared_ptr<adelie_core::matrix::MatrixCovSparse<Eigen::SparseMatrix<double, 0, int>, int> >&}]’
 1110 |       = __bool_constant<__is_constructible(_Tp, _Args...)>;
      |                         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:1115:12:   required from ‘struct std::is_constructible<std::__shared_ptr<adelie_core::matrix::MatrixCovBase<double, int>, __gnu_cxx::_S_atomic>, const std::shared_ptr<adelie_core::matrix::MatrixCovSparse<Eigen::SparseMatrix<double, 0, int>, int> >&>’
 1115 |     struct is_constructible
      |            ^~~~~~~~~~~~~~~~
/usr/include/c++/14/bits/shared_ptr.h:178:8:   required by substitution of ‘template<class _Tp> template<class ... _Args> using std::shared_ptr<_Tp>::_Constructible = typename std::enable_if<std::is_constructible<std::__shared_ptr<_Tp>, _Args ...>::value>::type [with _Args = {const std::shared_ptr<adelie_core::matrix::MatrixCovSparse<Eigen::SparseMatrix<double, 0, int>, int> >&}; _Tp = adelie_core::matrix::MatrixCovBase<double, int>]’
  178 |         using _Constructible = typename enable_if<
      |               ^~~~~~~~~~~~~~
/usr/include/c++/14/bits/shared_ptr.h:349:9:   required by substitution of ‘template<class _Yp, class> std::shared_ptr<adelie_core::matrix::MatrixCovBase<double, int> >::shared_ptr(const std::shared_ptr<_Tp>&) [with _Yp = adelie_core::matrix::MatrixCovSparse<Eigen::SparseMatrix<double, 0, int>, int>; <template-parameter-1-2> = <missing>]’
  349 |                typename = _Constructible<const shared_ptr<_Yp>&>>
      |                ^~~~~~~~
rcpp_matrix.h:308:1:   required from ‘RMatrixCovSparse64F::RMatrixCovSparse64F(Args&& ...) [with Args = {const long unsigned int&, const long unsigned int&, const long unsigned int&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}]’
   41 |             bname(std::make_shared<aname>(std::forward<Args>(args)...)) \
      |                                                                       ^
rcpp_matrix.cpp:46:89:   required from here
   46 |     return new r_matrix_cov_sparse_64F_t(rows, cols, nnz, outer, inner, value, n_threads);
      |                                                                                         ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:24:28:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/type_traits:1110:25:   required by substitution of ‘template<class _Tp, class ... _Args> using std::__is_constructible_impl = std::__bool_constant<__is_constructible(_Tp, _Args ...)> [with _Tp = std::__shared_ptr<adelie_core::matrix::MatrixNaiveBase<double, int>, __gnu_cxx::_S_atomic>; _Args = {const std::shared_ptr<adelie_core::matrix::MatrixNaiveStandardize<double, int> >&}]’
 1110 |       = __bool_constant<__is_constructible(_Tp, _Args...)>;
      |                         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/type_traits:1115:12:   required from ‘struct std::is_constructible<std::__shared_ptr<adelie_core::matrix::MatrixNaiveBase<double, int>, __gnu_cxx::_S_atomic>, const std::shared_ptr<adelie_core::matrix::MatrixNaiveStandardize<double, int> >&>’
 1115 |     struct is_constructible
      |            ^~~~~~~~~~~~~~~~
/usr/include/c++/14/bits/shared_ptr.h:178:8:   required by substitution of ‘template<class _Tp> template<class ... _Args> using std::shared_ptr<_Tp>::_Constructible = typename std::enable_if<std::is_constructible<std::__shared_ptr<_Tp>, _Args ...>::value>::type [with _Args = {const std::shared_ptr<adelie_core::matrix::MatrixNaiveStandardize<double, int> >&}; _Tp = adelie_core::matrix::MatrixNaiveBase<double, int>]’
  178 |         using _Constructible = typename enable_if<
      |               ^~~~~~~~~~~~~~
/usr/include/c++/14/bits/shared_ptr.h:349:9:   required by substitution of ‘template<class _Yp, class> std::shared_ptr<adelie_core::matrix::MatrixNaiveBase<double, int> >::shared_ptr(const std::shared_ptr<_Tp>&) [with _Yp = adelie_core::matrix::MatrixNaiveStandardize<double, int>; <template-parameter-1-2> = <missing>]’
  349 |                typename = _Constructible<const shared_ptr<_Yp>&>>
      |                ^~~~~~~~
rcpp_matrix.h:327:1:   required from ‘RMatrixNaiveStandardize64::RMatrixNaiveStandardize64(Args&& ...) [with Args = {adelie_core::matrix::MatrixNaiveBase<double, int>&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const Eigen::Map<Eigen::Array<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}]’
   41 |             bname(std::make_shared<aname>(std::forward<Args>(args)...)) \
      |                                                                       ^
rcpp_matrix.cpp:149:85:   required from here
  149 |     return new r_matrix_naive_standardize_64_t(*mat->ptr, centers, scales, n_threads);
      |                                                                                     ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, 1, -1, 1, 1, -1>; Src = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Func = assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:371:41:   required from ‘void Eigen::Ref<const TPlainObjectType, Options, StrideType>::construct(const Expression&, Eigen::internal::false_type) [with Expression = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array<double, 1, -1, 1, 1, -1>; int Options = 0; StrideType = Eigen::InnerStride<1>]’
  371 |       internal::call_assignment_no_alias(m_object,expr,internal::assign_op<Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:364:18:   required from ‘void Eigen::Ref<const TPlainObjectType, Options, StrideType>::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array<double, 1, -1, 1, 1, -1>; int Options = 0; StrideType = Eigen::InnerStride<1>]’
  364 |         construct(expr, internal::false_type());
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:345:16:   required from ‘Eigen::Ref<const TPlainObjectType, Options, StrideType>::Ref(const Eigen::DenseBase<OtherDerived>&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<const TPlainObjectType, Options, StrideType> >::match<Derived>::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array<double, 1, -1, 1, 1, -1>; int Options = 0; StrideType = Eigen::InnerStride<1>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<const TPlainObjectType, Options, StrideType> >::match<Derived>::ScalarTypeMatch), Derived>::type = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<Eigen::Ref<const TPlainObjectType, Options, StrideType> >::match<Derived> = Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
  345 |       construct(expr.derived(), typename Traits::template match<Derived>::type());
      |       ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_matrix.h:252:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:329:77:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/bits/shared_ptr_base.h:969:16:   required from ‘std::__shared_count<_Lp>::__shared_count(_Tp*&, std::_Sp_alloc_shared_tag<_Alloc>, _Args&& ...) [with _Tp = adelie_core::matrix::MatrixCovDense<Eigen::Matrix<double, -1, -1>, int>; _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’
  969 |           auto __pi = ::new (__mem)
      |                       ^~~~~~~~~~~~~
  970 |             _Sp_cp_type(__a._M_a, std::forward<_Args>(__args)...);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/bits/shared_ptr_base.h:1713:14:   required from ‘std::__shared_ptr<_Tp, _Lp>::__shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}; _Tp = adelie_core::matrix::MatrixCovDense<Eigen::Matrix<double, -1, -1>, int>; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’
 1713 |         : _M_ptr(), _M_refcount(_M_ptr, __tag, std::forward<_Args>(__args)...)
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/bits/shared_ptr.h:463:59:   required from ‘std::shared_ptr<_Tp>::shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator<void>; _Args = {const Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}; _Tp = adelie_core::matrix::MatrixCovDense<Eigen::Matrix<double, -1, -1>, int>]’
  463 |         : __shared_ptr<_Tp>(__tag, std::forward<_Args>(__args)...)
      |                                                                  ^
/usr/include/c++/14/bits/shared_ptr.h:1007:14:   required from ‘std::shared_ptr<typename std::enable_if<(! std::is_array<_Tp>::value), _Tp>::type> std::make_shared(_Args&& ...) [with _Tp = adelie_core::matrix::MatrixCovDense<Eigen::Matrix<double, -1, -1>, int>; _Args = {const Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}; typename enable_if<(! is_array<_Tp>::value), _Tp>::type = adelie_core::matrix::MatrixCovDense<Eigen::Matrix<double, -1, -1>, int>]’
 1007 |       return shared_ptr<_Tp>(_Sp_alloc_shared_tag<_Alloc>{__a},
      |              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1008 |                              std::forward<_Args>(__args)...);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_matrix.h:306:1:   required from ‘RMatrixCovDense64F::RMatrixCovDense64F(Args&& ...) [with Args = {const Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}]’
   41 |             bname(std::make_shared<aname>(std::forward<Args>(args)...)) \
      |                   ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_matrix.cpp:27:55:   required from here
   27 |     return new r_matrix_cov_dense_64F_t(mat, n_threads);
      |                                                       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Array<double, 1, -1, 1, 1, -1>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.hpp:75:27:   required from ‘adelie_core::matrix::MatrixNaiveSNPUnphased<ValueType, MmapPtrType, IndexType>::MatrixNaiveSNPUnphased(const io_t&, size_t) [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; io_t = adelie_core::io::IOSNPUnphased<std::shared_ptr<char> >; size_t = long unsigned int]’
   75 |         _vbuff.setConstant(_max);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~
/usr/include/c++/14/bits/stl_construct.h:119:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/include/c++/14/bits/shared_ptr_base.h:969:16:   required from ‘std::__shared_count<_Lp>::__shared_count(_Tp*&, std::_Sp_alloc_shared_tag<_Alloc>, _Args&& ...) [with _Tp = adelie_core::matrix::MatrixNaiveSNPUnphased<double, std::shared_ptr<char>, int>; _Alloc = std::allocator<void>; _Args = {const RIOSNPUnphased&, const long unsigned int&}; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’
  969 |           auto __pi = ::new (__mem)
      |                       ^~~~~~~~~~~~~
  970 |             _Sp_cp_type(__a._M_a, std::forward<_Args>(__args)...);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/bits/shared_ptr_base.h:1713:14:   required from ‘std::__shared_ptr<_Tp, _Lp>::__shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator<void>; _Args = {const RIOSNPUnphased&, const long unsigned int&}; _Tp = adelie_core::matrix::MatrixNaiveSNPUnphased<double, std::shared_ptr<char>, int>; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’
 1713 |         : _M_ptr(), _M_refcount(_M_ptr, __tag, std::forward<_Args>(__args)...)
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/bits/shared_ptr.h:463:59:   required from ‘std::shared_ptr<_Tp>::shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator<void>; _Args = {const RIOSNPUnphased&, const long unsigned int&}; _Tp = adelie_core::matrix::MatrixNaiveSNPUnphased<double, std::shared_ptr<char>, int>]’
  463 |         : __shared_ptr<_Tp>(__tag, std::forward<_Args>(__args)...)
      |                                                                  ^
/usr/include/c++/14/bits/shared_ptr.h:1007:14:   required from ‘std::shared_ptr<typename std::enable_if<(! std::is_array<_Tp>::value), _Tp>::type> std::make_shared(_Args&& ...) [with _Tp = adelie_core::matrix::MatrixNaiveSNPUnphased<double, shared_ptr<char>, int>; _Args = {const RIOSNPUnphased&, const long unsigned int&}; typename enable_if<(! is_array<_Tp>::value), _Tp>::type = adelie_core::matrix::MatrixNaiveSNPUnphased<double, shared_ptr<char>, int>]’
 1007 |       return shared_ptr<_Tp>(_Sp_alloc_shared_tag<_Alloc>{__a},
      |              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1008 |                              std::forward<_Args>(__args)...);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_matrix.h:325:1:   required from ‘RMatrixNaiveSNPUnphased64::RMatrixNaiveSNPUnphased64(Args&& ...) [with Args = {const RIOSNPUnphased&, const long unsigned int&}]’
   41 |             bname(std::make_shared<aname>(std::forward<Args>(args)...)) \
      |                   ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_matrix.cpp:121:63:   required from here
  121 |     return new r_matrix_naive_snp_unphased_64_t(*io, n_threads);
      |                                                               ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
rcpp_matrix.h:203:20:   required from ‘void adelie_core::matrix::MatrixNaiveS4<ValueType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  201 |         out = Rcpp::as<colmat_value_t>(
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~
  202 |             ADELIE_CORE_S4_PURE_OVERRIDE(sp_btmul, _mat, v)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  203 |         ).transpose();
      |         ~~~~~~~~~~~^~
rcpp_matrix.h:196:10:   required from here
  196 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
  977 | struct evaluator<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71:   required from ‘struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
 1018 |     Flags = evaluator<Map<PlainObjectType, RefOptions, StrideType> >::Flags,
      |                                                                       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:409:18:   required from ‘void adelie_core::matrix::MatrixNaiveRSubset<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  409 |         _mat->cov(j, q, _buffer, out, cov_buffer);
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:385:10:   required from here
  385 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from rcpp_matrix.h:12:
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp: In instantiation of ‘void adelie_core::matrix::MatrixNaiveRSubset<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’:
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:385:10:   required from here
  385 |     void cov(
      |          ^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:176:36: note:   initializing argument 4 of ‘void adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Matrix<Type, -1, -1> >, Eigen::Ref<Eigen::Matrix<Type, -1, -1> >) [with ValueType = double; IndexType = int; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Matrix<Type, -1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  176 |         Eigen::Ref<colmat_value_t> out,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:423:20:   required from ‘void adelie_core::matrix::MatrixNaiveRSubset<ValueType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  423 |             out.col(i) = _out.col(_subset[i]);
      |             ~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:412:10:   required from here
  412 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:423:34:   required from ‘void adelie_core::matrix::MatrixNaiveRSubset<ValueType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  423 |             out.col(i) = _out.col(_subset[i]);
      |                          ~~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:412:10:   required from here
  412 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:130:44:   required from ‘void adelie_core::matrix::MatrixNaiveCSubset<ValueType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  130 |                 auto curr_out = out.segment(n_processed, size);
      |                                 ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:114:10:   required from here
  114 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:131:27:   required from ‘void adelie_core::matrix::MatrixNaiveCSubset<ValueType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  131 |                 _mat->bmul(_subset[k], size, v, weights, curr_out);
      |                 ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:114:10:   required from here
  114 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:152:46:   required from ‘void adelie_core::matrix::MatrixNaiveCSubset<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  152 |                 const auto curr_v = v.segment(n_processed, size);
      |                                     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:137:10:   required from here
  137 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:340:101:   required by substitution of ‘template<class Derived> Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Derived>::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  340 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::ScalarTypeMatch),Derived>::type* = 0)
      |                                                                                                     ^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:153:28:   required from ‘void adelie_core::matrix::MatrixNaiveCSubset<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  153 |                 _mat->btmul(_subset[k], size, curr_v, out);
      |                 ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:137:10:   required from here
  137 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:340:101:   required by substitution of ‘template<class Derived> Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Derived>::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Block<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  340 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::ScalarTypeMatch),Derived>::type* = 0)
      |                                                                                                     ^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:153:28:   required from ‘void adelie_core::matrix::MatrixNaiveCSubset<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  153 |                 _mat->btmul(_subset[k], size, curr_v, out);
      |                 ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:137:10:   required from here
  137 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:226:30:   required from ‘adelie_core::matrix::MatrixNaiveCSubset<double, int>::sp_btmul(const adelie_core::matrix::MatrixNaiveBase<double, int>::sp_mat_value_t&, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >)::<lambda(auto:27)> [with auto:27 = int]’
  226 |             auto out_k = out.row(k);
      |                          ~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:233:60:   required from ‘void adelie_core::matrix::MatrixNaiveCSubset<ValueType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  233 |             for (int k = 0; k < v.outerSize(); ++k) routine(k);
      |                                                     ~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:215:10:   required from here
  215 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]’
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:229:23:   required from ‘adelie_core::matrix::MatrixNaiveCSubset<double, int>::sp_btmul(const adelie_core::matrix::MatrixNaiveBase<double, int>::sp_mat_value_t&, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >)::<lambda(auto:27)> [with auto:27 = int]’
  229 |                 _mat->ctmul(_subset[it.index()], it.value(), out_k);
      |                 ~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:233:60:   required from ‘void adelie_core::matrix::MatrixNaiveCSubset<ValueType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  233 |             for (int k = 0; k < v.outerSize(); ++k) routine(k);
      |                                                     ~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:215:10:   required from here
  215 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]’
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:229:23:   required from ‘adelie_core::matrix::MatrixNaiveCSubset<double, int>::sp_btmul(const adelie_core::matrix::MatrixNaiveBase<double, int>::sp_mat_value_t&, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >)::<lambda(auto:27)> [with auto:27 = int]’
  229 |                 _mat->ctmul(_subset[it.index()], it.value(), out_k);
      |                 ~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:233:60:   required from ‘void adelie_core::matrix::MatrixNaiveCSubset<ValueType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  233 |             for (int k = 0; k < v.outerSize(); ++k) routine(k);
      |                                                     ~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:215:10:   required from here
  215 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:68:41:   required from ‘typename adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   68 |             (c == 0) ? 0 : ddot(v.matrix(), weights.matrix(), _n_threads, _buff)
      |                                 ~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:59:13:   required from here
   59 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:23)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:23)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:23)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:23)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:86:37:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   86 |             vec_value_t::NullaryExpr(out.size(), [&](auto) {
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
   87 |                 return vsc;
      |                 ~~~~~~~~~~~          
   88 |             }),
      |             ~~                       
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:73:10:   required from here
   73 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:102:40:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  102 |         const auto c = _centers.segment(j, q);
      |                        ~~~~~~~~~~~~~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:93:10:   required from here
   93 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:107:34:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  107 |         dvveq(out, (out - vw_sum * c) / s, _n_threads);
      |                           ~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:93:10:   required from here
   93 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:107:34:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  107 |         dvveq(out, (out - vw_sum * c) / s, _n_threads);
      |                           ~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:93:10:   required from here
   93 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:107:25:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  107 |         dvveq(out, (out - vw_sum * c) / s, _n_threads);
      |                    ~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:93:10:   required from here
   93 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:107:39:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  107 |         dvveq(out, (out - vw_sum * c) / s, _n_threads);
      |                    ~~~~~~~~~~~~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:93:10:   required from here
   93 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:117:32:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  117 |         auto vs = _buff.segment(0, q);
      |                   ~~~~~~~~~~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10:   required from here
  110 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:119:21:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  119 |         dvveq(vs, v / s, _n_threads);
      |                   ~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10:   required from here
  110 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:340:101:   required by substitution of ‘template<class Derived> Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >::match<Derived>::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>]’
  340 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::ScalarTypeMatch),Derived>::type* = 0)
      |                                                                                                     ^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:120:20:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  120 |         _mat->btmul(j, q, vs, out);
      |         ~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10:   required from here
  110 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:123:42:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  123 |             _centers.segment(j, q).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10:   required from here
  110 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:124:22:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  124 |             vs.matrix(),
      |             ~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10:   required from here
  110 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:24)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:24)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:24)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:24)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:131:37:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  131 |             vec_value_t::NullaryExpr(out.size(), [&](auto) { return vsc; }),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10:   required from here
  110 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:144:34:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  144 |         dvveq(out, (out - vw_sum * _centers) / _scales, _n_threads);
      |                           ~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:136:10:   required from here
  136 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:144:25:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  144 |         dvveq(out, (out - vw_sum * _centers) / _scales, _n_threads);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:136:10:   required from here
  136 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:144:46:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  144 |         dvveq(out, (out - vw_sum * _centers) / _scales, _n_threads);
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:136:10:   required from here
  136 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:60:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  179 |             out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10:   required from here
  157 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:88:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  179 |             out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1);
      |                                                                ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10:   required from here
  157 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:180:83:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  180 |             out_lower.rankUpdate(centers.matrix().transpose(), sqrt_weights.square().sum());
      |                                                                ~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10:   required from here
  157 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:181:72:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  181 |             out.template triangularView<Eigen::Upper>() = out.transpose();
      |                                                           ~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10:   required from here
  157 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:184:18:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  184 |         out.array().rowwise() /= scales;
      |         ~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10:   required from here
  157 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:185:67:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  185 |         out.array().colwise() /= scales.matrix().transpose().array();
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10:   required from here
  157 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:217:33:   required from ‘adelie_core::matrix::MatrixNaiveStandardize<double, int>::sp_btmul(const adelie_core::matrix::MatrixNaiveBase<double, int>::sp_mat_value_t&, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >)::<lambda(auto:25)> [with auto:25 = int]’
  217 |             if (vsc) out_k.array() -= vsc;
      |                      ~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:220:60:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  220 |             for (int k = 0; k < v.outerSize(); ++k) routine(k);
      |                                                     ~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:188:10:   required from here
  188 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   50 | class SparseMapBase<Derived,ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7:   required from ‘class Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >’
  255 | class Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:225:52:   required from ‘void adelie_core::matrix::MatrixNaiveSparse<SparseType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) [with SparseType = Eigen::SparseMatrix<double, 0, int>; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  225 |             const Eigen::Map<const sp_mat_value_t> vk(
      |                                                    ^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:212:10:   required from here
  212 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > > >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from ‘class Eigen::internal::SparseTransposeImpl<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 1024>’
   22 |   class SparseTransposeImpl<MatrixType,CompressedAccessBit>
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>’
   45 | template<typename MatrixType> class TransposeImpl<MatrixType,Sparse>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:234:24:   required from ‘void adelie_core::matrix::MatrixNaiveSparse<SparseType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) [with SparseType = Eigen::SparseMatrix<double, 0, int>; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  234 |             out_k = vk * _mat.transpose();
      |                     ~~~^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:212:10:   required from here
  212 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >, 2> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from ‘class Eigen::ProductImpl<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >, 2, Eigen::Sparse>’
  145 | class ProductImpl : public internal::generic_xpr_base<Product<Lhs,Rhs,Option>, MatrixXpr, StorageKind>::type
      |       ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >, 2>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:234:19:   required from ‘adelie_core::matrix::MatrixNaiveSparse<Eigen::SparseMatrix<double, 0, int>, int>::sp_btmul(const adelie_core::matrix::MatrixNaiveBase<double, int>::sp_mat_value_t&, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >)::<lambda(auto:22)> [with auto:22 = int]’
  234 |             out_k = vk * _mat.transpose();
      |             ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:237:60:   required from ‘void adelie_core::matrix::MatrixNaiveSparse<SparseType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) [with SparseType = Eigen::SparseMatrix<double, 0, int>; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  237 |             for (int k = 0; k < v.outerSize(); ++k) routine(k);
      |                                                     ~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:212:10:   required from here
  212 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:109:26:   required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  109 |             _io, j, q, v * weights, out, _n_threads, _buff
      |                        ~~^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:99:10:   required from here
   99 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:185:49:   required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  185 |                     auto out_diag = out.diagonal().segment(n_solved0, a_size);
      |                                     ~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:143:10:   required from here
  143 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:185:59:   required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  185 |                     auto out_diag = out.diagonal().segment(n_solved0, a_size);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:143:10:   required from here
  143 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<double, std::shared_ptr<char>, int>::cov(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >)::<lambda(auto:18)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<double, std::shared_ptr<char>, int>::cov(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >)::<lambda(auto:18)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<double, std::shared_ptr<char>, int>::cov(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >)::<lambda(auto:18)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<double, std::shared_ptr<char>, int>::cov(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >)::<lambda(auto:18)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:299:53:   required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  299 |                             vec_value_t::NullaryExpr(sqrt_weights.size(), [&](auto i) {
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  300 |                                 const auto sqrt_wi = sqrt_weights[i];
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  301 |                                 return sqrt_wi * sqrt_wi * _bbuff[i];
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  302 |                             }),
      |                             ~~                       
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:143:10:   required from here
  143 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   required from ‘struct Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >::CastXpr<double>’
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.hpp:193:64:   required from ‘void adelie_core::matrix::MatrixNaiveSNPUnphased<ValueType, MmapPtrType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  193 |                         (_vbuff != _max).template cast<value_t>() * _vbuff
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.hpp:140:10:   required from here
  140 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.hpp:193:67:   required from ‘void adelie_core::matrix::MatrixNaiveSNPUnphased<ValueType, MmapPtrType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  192 |                     sqrt_weights.square() * (
      |                                             ~                      
  193 |                         (_vbuff != _max).template cast<value_t>() * _vbuff
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
  194 |                     ),
      |                     ~                                              
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.hpp:140:10:   required from here
  140 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.hpp:192:43:   required from ‘void adelie_core::matrix::MatrixNaiveSNPUnphased<ValueType, MmapPtrType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  192 |                     sqrt_weights.square() * (
      |                     ~~~~~~~~~~~~~~~~~~~~~~^~~
  193 |                         (_vbuff != _max).template cast<value_t>() * _vbuff
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  194 |                     ),
      |                     ~                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.hpp:140:10:   required from here
  140 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:315:42:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  315 |         Eigen::Map<const rowmat_value_t> V(v.data(), rows() / _K, _K);
      |                                          ^
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13:   required from here
  308 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:319:33:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  319 |         Eigen::Map<vec_value_t> vbuff(_buff.data(), _n_threads);
      |                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13:   required from here
  308 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:26:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  320 |         return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff);
      |                     ~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13:   required from here
  308 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:42:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  320 |         return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff);
      |                     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13:   required from here
  308 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:62:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  320 |         return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff);
      |                                                      ~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13:   required from here
  308 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:333:28:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  333 |         auto _out = Out.col(l);
      |                     ~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:323:10:   required from here
  323 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:334:24:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  334 |         dvaddi(_out, v * _mat.col(i), _n_threads);
      |                      ~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:323:10:   required from here
  323 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:334:24:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  334 |         dvaddi(_out, v * _mat.col(i), _n_threads);
      |                      ~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:323:10:   required from here
  323 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:334:15:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  334 |         dvaddi(_out, v * _mat.col(i), _n_threads);
      |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:323:10:   required from here
  323 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:352:62:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  352 |             auto _out = out.segment(n_processed, size).matrix();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:354:30:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:355:38:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:39:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  397 |         Out.noalias() = _mat.transpose() * VW;
      |                         ~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10:   required from here
  386 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:42:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  397 |         Out.noalias() = _mat.transpose() * VW;
      |                         ~~~~~~~~~~~~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10:   required from here
  386 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:423:47:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  423 |             auto sqrt_WX_array = sqrt_WX.array();
      |                                  ~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10:   required from here
  400 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:426:32:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  426 |                 _mat.middleCols(i_begin, i_q).array().colwise() * sqrt_W.col(l).array(),
      |                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10:   required from here
  400 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:426:52:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  426 |                 _mat.middleCols(i_begin, i_q).array().colwise() * sqrt_W.col(l).array(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10:   required from here
  400 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:426:86:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  426 |                 _mat.middleCols(i_begin, i_q).array().colwise() * sqrt_W.col(l).array(),
      |                                                                   ~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10:   required from here
  400 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1>’
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:426:65:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  426 |                 _mat.middleCols(i_begin, i_q).array().colwise() * sqrt_W.col(l).array(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10:   required from here
  400 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:426:65:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  426 |                 _mat.middleCols(i_begin, i_q).array().colwise() * sqrt_W.col(l).array(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10:   required from here
  400 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:87:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  433 |             XTWX.template selfadjointView<Eigen::Lower>().rankUpdate(sqrt_WX.transpose());
      |                                                                      ~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10:   required from here
  400 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   50 | class SparseMapBase<Derived,ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  148 | class SparseMapBase<Derived,WriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >’
  222 | class Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:483:40:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  483 |             Eigen::Map<sp_mat_value_t> _v(
      |                                        ^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10:   required from here
  449 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:496:40:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  496 |                 out_k.col(l) = _out.row(k);
      |                                ~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10:   required from here
  449 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:500:37:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  500 |                 _out.noalias() = _v * _mat.transpose();
      |                                  ~~~^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10:   required from here
  449 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:519:28:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  519 |                 out_k = vk * _mat.transpose();
      |                         ~~~^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10:   required from here
  449 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:77:38:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   77 |         auto Out_l = Out.col(l).array();
      |                      ~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:64:10:   required from here
   64 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:105:49:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  105 |             auto Out_curr = Out.col(l-j).segment(i_begin, i_q);
      |                             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:127:41:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  127 |             dvveq(_v, V.col(l-j).segment(i_begin, i_q), _n_threads);
      |                       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:110:10:   required from here
  110 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:50:54:   required from ‘typename adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   50 |         return ddot(_mat.col(j), (v * weights).matrix(), _n_threads, vbuff);
      |                                  ~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:42:13:   required from here
   42 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:60:54:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   60 |         dvaddi(out, v * _mat.col(j).transpose().array(), _n_threads);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:53:10:   required from here
   53 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:60:23:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   60 |         dvaddi(out, v * _mat.col(j).transpose().array(), _n_threads);
      |                     ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:53:10:   required from here
   53 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:71:31:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   71 |         auto outm = out.matrix();
      |                     ~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:75:26:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:91:44:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:140:69:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  140 |             const auto sqrt_w_mj = (_mat.col(j).transpose().array() * sqrt_weights).matrix();
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10:   required from here
  126 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:140:91:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  140 |             const auto sqrt_w_mj = (_mat.col(j).transpose().array() * sqrt_weights).matrix();
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10:   required from here
  126 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:151:86:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  151 |             _mat.middleCols(j, q).array().colwise() * sqrt_weights.matrix().transpose().array(),
      |                                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10:   required from here
  126 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:151:94:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  151 |             _mat.middleCols(j, q).array().colwise() * sqrt_weights.matrix().transpose().array(),
      |                                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10:   required from here
  126 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1>’
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:151:53:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  151 |             _mat.middleCols(j, q).array().colwise() * sqrt_weights.matrix().transpose().array(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10:   required from here
  126 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:151:53:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  151 |             _mat.middleCols(j, q).array().colwise() * sqrt_weights.matrix().transpose().array(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10:   required from here
  126 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double, 1>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double, 1>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double, 1>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double, 1>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::SparseMatrix<double, 1>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::SparseMatrix<double, 1>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:170:31:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  170 |             out.noalias() = v * _mat.transpose();
      |                             ~~^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:161:10:   required from here
  161 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:481:27:   required from ‘void adelie_core::matrix::MatrixNaiveRConcatenate<ValueType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  481 |             out.middleCols(begin, rows_curr) = out_curr;
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:461:10:   required from here
  461 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::SparseMatrix<double, 1>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7:   required from ‘class Eigen::BlockImpl<const Eigen::SparseMatrix<double, 1>, -1, -1, false, Eigen::Sparse>’
  333 | class BlockImpl<XprType,BlockRows,BlockCols,InnerPanel,Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::SparseMatrix<double, 1>, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:238:38:   required from ‘void adelie_core::matrix::MatrixNaiveCConcatenate<ValueType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  238 |             mat.sp_btmul(v.middleCols(n_processed, q_curr), buff);
      |                          ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:224:10:   required from here
  224 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7:   required from ‘class Eigen::BlockImpl<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, -1, false, Eigen::Sparse>’
  333 | class BlockImpl<XprType,BlockRows,BlockCols,InnerPanel,Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.hpp:102:25:   required from ‘void adelie_core::matrix::MatrixCovSparse<SparseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with SparseType = Eigen::SparseMatrix<double, 0, int>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  102 |         out = _mat.block(i, i, p, p);
      |               ~~~~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.hpp:96:10:   required from here
   96 |     void to_dense(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:133:36:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  133 |             dvaddi(out, v * mat.row(i_rel).array(), _n_threads);
      |                             ~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:114:10:   required from here
  114 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:133:49:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  133 |             dvaddi(out, v * mat.row(i_rel).array(), _n_threads);
      |                             ~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:114:10:   required from here
  114 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:133:27:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  133 |             dvaddi(out, v * mat.row(i_rel).array(), _n_threads);
      |                         ~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:114:10:   required from here
  114 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:154:27:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  154 |             out.middleCols(n_processed, size) = mat.block(k_rel, i, size, p).transpose();
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:137:10:   required from here
  137 |     void to_dense(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:154:58:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  154 |             out.middleCols(n_processed, size) = mat.block(k_rel, i, size, p).transpose();
      |                                                 ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:137:10:   required from here
  137 |     void to_dense(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:154:87:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  154 |             out.middleCols(n_processed, size) = mat.block(k_rel, i, size, p).transpose();
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:137:10:   required from here
  137 |     void to_dense(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:74:50:   required from ‘void adelie_core::matrix::MatrixCovDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   74 |                 dvaddi(out, v * _mat.col(i).array(), _n_threads);
      |                                 ~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:60:10:   required from here
   60 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:74:31:   required from ‘void adelie_core::matrix::MatrixCovDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   74 |                 dvaddi(out, v * _mat.col(i).array(), _n_threads);
      |                             ~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:60:10:   required from here
   60 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:74:31:   required from ‘void adelie_core::matrix::MatrixCovDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   74 |                 dvaddi(out, v * _mat.col(i).array(), _n_threads);
      |                             ~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:60:10:   required from here
   60 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:85:25:   required from ‘void adelie_core::matrix::MatrixCovDense<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   85 |         out = _mat.block(i, i, p, p);
      |               ~~~~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:79:10:   required from here
   79 |     void to_dense(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:85:13:   required from ‘void adelie_core::matrix::MatrixCovDense<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
   85 |         out = _mat.block(i, i, p, p);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:79:10:   required from here
   79 |     void to_dense(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_block_diag.hpp:210:22:   required from ‘void adelie_core::matrix::MatrixCovBlockDiag<ValueType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<ValueType, IndexType>::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixCovBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  210 |             out.block(n_processed, n_processed, new_p, new_p) = new_out;
      |             ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_block_diag.hpp:188:10:   required from here
  188 |     void to_dense(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:404:48:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  404 |                 const auto sqrt_w_mi = (sqrt_w * mi).matrix();
      |                                        ~~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:373:10:   required from here
  373 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:404:60:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  404 |                 const auto sqrt_w_mi = (sqrt_w * mi).matrix();
      |                                        ~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:373:10:   required from here
  373 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:613:36:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  613 |                 auto w = buffer.col(0).array();
      |                          ~~~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:613:45:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  613 |                 auto w = buffer.col(0).array();
      |                          ~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:42:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  615 |                 out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, _buff);
      |                                  ~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:56:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  615 |                 out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, _buff);
      |                                              ~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:65:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  615 |                 out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, _buff);
      |                                              ~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:616:51:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  616 |                 out(1, 0) = ddot(w.matrix(), (mi0 * mi1).matrix(), _n_threads, _buff);
      |                                              ~~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:616:64:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  616 |                 out(1, 0) = ddot(w.matrix(), (mi0 * mi1).matrix(), _n_threads, _buff);
      |                                              ~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:618:60:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  618 |                 out(2, 0) = ddot(w.matrix(), (mi0.square() * mi1).matrix(), _n_threads, _buff);
      |                                              ~~~~~~~~~~~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:618:73:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  618 |                 out(2, 0) = ddot(w.matrix(), (mi0.square() * mi1).matrix(), _n_threads, _buff);
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:620:64:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  620 |                 out(2, 2) = ddot(w.matrix(), (mi0 * mi1).square().matrix(), _n_threads, _buff);
      |                                              ~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:620:73:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  620 |                 out(2, 2) = ddot(w.matrix(), (mi0 * mi1).square().matrix(), _n_threads, _buff);
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:643:32:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  643 |                 out_12.diagonal() = out_21.diagonal();
      |                 ~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:29:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; X2Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:68:32:   required from ‘typename adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   68 |             (c == 0) ? 0 : ddot(v.matrix(), weights.matrix(), _n_threads, _buff)
      |                            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:59:13:   required from here
   59 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:23)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:23)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:23)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:23)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:23)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:23)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:23)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:66:46:   required from ‘void adelie_core::matrix::dvsubi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseNullaryOp<MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:23)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   66 |         x1.segment(begin, size) -= x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:84:15:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   84 |         dvsubi(
      |         ~~~~~~^
   85 |             out,
      |             ~~~~
   86 |             vec_value_t::NullaryExpr(out.size(), [&](auto) {
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   87 |                 return vsc;
      |                 ~~~~~~~~~~~
   88 |             }),
      |             ~~~
   89 |             _n_threads
      |             ~~~~~~~~~~
   90 |         );
      |         ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:73:10:   required from here
   73 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50:   required from ‘bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   84 |           && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits<Scalar>::AddCost)) <= EIGEN_UNROLLING_LIMIT
      |                                                  ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:104:25:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  104 |             (c == 0).all() ? 0 : ddot(v.matrix(), weights.matrix(), _n_threads, _buff)
      |             ~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:93:10:   required from here
   93 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:45:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’
   96 |         x1.segment(begin, size) = x2.segment(begin, size);
      |                                   ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:107:14:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  107 |         dvveq(out, (out - vw_sum * c) / s, _n_threads);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:93:10:   required from here
   93 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:19:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’
   96 |         x1.segment(begin, size) = x2.segment(begin, size);
      |         ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:119:14:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  119 |         dvveq(vs, v / s, _n_threads);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10:   required from here
  110 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:45:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’
   96 |         x1.segment(begin, size) = x2.segment(begin, size);
      |                                   ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:119:14:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  119 |         dvveq(vs, v / s, _n_threads);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10:   required from here
  110 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:29:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:122:30:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  122 |         const auto vsc = ddot(
      |                          ~~~~^
  123 |             _centers.segment(j, q).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  124 |             vs.matrix(),
      |             ~~~~~~~~~~~~      
  125 |             _n_threads,
      |             ~~~~~~~~~~~       
  126 |             _buff
      |             ~~~~~             
  127 |         );
      |         ~                     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10:   required from here
  110 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                                               ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:122:30:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  122 |         const auto vsc = ddot(
      |                          ~~~~^
  123 |             _centers.segment(j, q).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  124 |             vs.matrix(),
      |             ~~~~~~~~~~~~      
  125 |             _n_threads,
      |             ~~~~~~~~~~~       
  126 |             _buff
      |             ~~~~~             
  127 |         );
      |         ~                     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10:   required from here
  110 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:24)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:24)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:24)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:24)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:24)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:24)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:24)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:66:46:   required from ‘void adelie_core::matrix::dvsubi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseNullaryOp<MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:24)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   66 |         x1.segment(begin, size) -= x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:129:15:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  129 |         dvsubi(
      |         ~~~~~~^
  130 |             out,
      |             ~~~~
  131 |             vec_value_t::NullaryExpr(out.size(), [&](auto) { return vsc; }),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  132 |             _n_threads
      |             ~~~~~~~~~~
  133 |         );
      |         ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10:   required from here
  110 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:45:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
   96 |         x1.segment(begin, size) = x2.segment(begin, size);
      |                                   ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:144:14:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  144 |         dvveq(out, (out - vw_sum * _centers) / _scales, _n_threads);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:136:10:   required from here
  136 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   required from ‘struct Eigen::internal::blas_traits<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
  506 |     >::type DirectLinearAccessType;
      |             ^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:70:56:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’
   70 |   typedef typename VBlasTraits::DirectLinearAccessType ActualVType;
      |                                                        ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  179 |             out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1);
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10:   required from here
  157 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Replicate<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, -1, 1>’
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:627:29:   required from ‘ExpressionType& Eigen::VectorwiseOp<ExpressionType, Direction>::operator/=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; ExpressionType = Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >; int Direction = 1]’
  627 |       m_matrix /= extendedTo(other.derived());
      |                   ~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:184:31:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  184 |         out.array().rowwise() /= scales;
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10:   required from here
  157 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 1, -1>’
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:627:29:   required from ‘ExpressionType& Eigen::VectorwiseOp<ExpressionType, Direction>::operator/=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; ExpressionType = Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >; int Direction = 0]’
  627 |       m_matrix /= extendedTo(other.derived());
      |                   ~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:185:31:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  185 |         out.array().colwise() /= scales.matrix().transpose().array();
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10:   required from here
  157 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1, 1, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1, 1, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1, 1, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, -1, 1, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, -1, 1, -1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   24 |                              ? PlainObjectType::ColsAtCompileTime
      |                                                 ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >’
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:688:32:   required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry<std::shared_ptr<char> >; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; OutType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
  688 |     Eigen::Map<rowarr_value_t> mbuff(
      |                                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:108:38:   required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  108 |         snp_phased_ancestry_block_dot(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  109 |             _io, j, q, v * weights, out, _n_threads, _buff
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |         );
      |         ~                             
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:99:10:   required from here
   99 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:688:32:   required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry<std::shared_ptr<char> >; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; OutType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
  688 |     Eigen::Map<rowarr_value_t> mbuff(
      |                                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:108:38:   required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  108 |         snp_phased_ancestry_block_dot(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  109 |             _io, j, q, v * weights, out, _n_threads, _buff
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |         );
      |         ~                             
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:99:10:   required from here
   99 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::PartialReduxExpr<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 1>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:728:30:   required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry<std::shared_ptr<char> >; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; OutType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
  728 |     out = mbuff.rowwise().sum();
      |           ~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:108:38:   required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  108 |         snp_phased_ancestry_block_dot(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  109 |             _io, j, q, v * weights, out, _n_threads, _buff
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |         );
      |         ~                             
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:99:10:   required from here
   99 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:29:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  320 |         return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff);
      |                ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13:   required from here
  308 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                                               ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  320 |         return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff);
      |                ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13:   required from here
  308 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:159:21:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’
  159 |     return buff.head(n_blocks).sum();
      |            ~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  320 |         return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff);
      |                ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13:   required from here
  308 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:334:15:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  334 |         dvaddi(_out, v * _mat.col(i), _n_threads);
      |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:323:10:   required from here
  323 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:45:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Array<double, 1, -1, 1, 1, -1>; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
   96 |         x1.segment(begin, size) = x2.segment(begin, size);
      |                                   ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:345:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  345 |         dvveq(_vbuff, v * weights, _n_threads);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:21:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  211 |             out = v * m;
      |                   ~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:28:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  233 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:60:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  233 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                                                ~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:46:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  233 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                                            ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:29:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:26:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:54:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                                          ~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:40:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |                                   ~     
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:256:29:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  256 |             out = buff.block(0, 0, n_blocks, p).colwise().sum();
      |                   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:256:62:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  256 |             out = buff.block(0, 0, n_blocks, p).colwise().sum();
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:189:22:   required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >; size_t = long unsigned int]’
  189 |         x1.middleRows(begin, size) = x2.middleRows(begin, size);
      |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:424:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  424 |             dmmeq(
      |             ~~~~~^
  425 |                 sqrt_WX_array,
      |                 ~~~~~~~~~~~~~~
  426 |                 _mat.middleCols(i_begin, i_q).array().colwise() * sqrt_W.col(l).array(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  427 |                 _n_threads
      |                 ~~~~~~~~~~
  428 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10:   required from here
  400 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:189:51:   required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >; size_t = long unsigned int]’
  189 |         x1.middleRows(begin, size) = x2.middleRows(begin, size);
      |                                      ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:424:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  424 |             dmmeq(
      |             ~~~~~^
  425 |                 sqrt_WX_array,
      |                 ~~~~~~~~~~~~~~
  426 |                 _mat.middleCols(i_begin, i_q).array().colwise() * sqrt_W.col(l).array(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  427 |                 _n_threads
      |                 ~~~~~~~~~~
  428 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10:   required from here
  400 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:45:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; size_t = long unsigned int]’
   96 |         x1.segment(begin, size) = x2.segment(begin, size);
      |                                   ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:59:14:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   59 |         dvveq(_v, V.col(l), _n_threads);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:46:13:   required from here
   46 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:19:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:78:15:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   78 |         dvaddi(Out_l, _out, _n_threads);
      |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:64:10:   required from here
   64 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:78:15:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   78 |         dvaddi(Out_l, _out, _n_threads);
      |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:64:10:   required from here
   64 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:19:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; X2Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
   96 |         x1.segment(begin, size) = x2.segment(begin, size);
      |         ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:106:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  106 |             dvveq(Out_curr, _out, _n_threads);
      |             ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Block<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:45:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::VectorBlock<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; size_t = long unsigned int]’
   96 |         x1.segment(begin, size) = x2.segment(begin, size);
      |                                   ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:127:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  127 |             dvveq(_v, V.col(l-j).segment(i_begin, i_q), _n_threads);
      |             ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:110:10:   required from here
  110 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:282:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >’
  282 | struct evaluator<Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 1; _StorageIndex = int]’
  687 |       const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:250:27:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  250 |             _mat->sp_btmul(_v, _out);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:207:10:   required from here
  207 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                                               ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:50:20:   required from ‘typename adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   50 |         return ddot(_mat.col(j), (v * weights).matrix(), _n_threads, vbuff);
      |                ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:42:13:   required from here
   42 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:60:15:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   60 |         dvaddi(out, v * _mat.col(j).transpose().array(), _n_threads);
      |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:53:10:   required from here
   53 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:21:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  211 |             out = v * m;
      |                   ~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:28:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  233 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:60:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  233 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                                                ~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:46:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  233 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                                            ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:26:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:54:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                                          ~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:40:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |                                   ~     
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:22:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  213 |             out += v * m;
      |                    ~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:235:61:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  235 |                 out.segment(begin, size) += v * m.middleCols(begin, size);
      |                                                 ~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:235:47:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  235 |                 out.segment(begin, size) += v * m.middleCols(begin, size);
      |                                             ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:54:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                                          ~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:40:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |                                   ~     
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:21:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  211 |             out = v * m;
      |                   ~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  107 |         dgemv(
      |         ~~~~~^
  108 |             _mat,
      |             ~~~~~
  109 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
  110 |             _n_threads,
      |             ~~~~~~~~~~~
  111 |             _buff,
      |             ~~~~~~
  112 |             outm
      |             ~~~~
  113 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10:   required from here
   99 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:40:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |                                   ~     
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  107 |         dgemv(
      |         ~~~~~^
  108 |             _mat,
      |             ~~~~~
  109 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
  110 |             _n_threads,
      |             ~~~~~~~~~~~
  111 |             _buff,
      |             ~~~~~~
  112 |             outm
      |             ~~~~
  113 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10:   required from here
   99 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:29:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:142:29:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  142 |             out(0, 0) = ddot(sqrt_w_mj, sqrt_w_mj, _n_threads, vbuff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10:   required from here
  126 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:189:22:   required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >; size_t = long unsigned int]’
  189 |         x1.middleRows(begin, size) = x2.middleRows(begin, size);
      |         ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:149:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  149 |         dmmeq(
      |         ~~~~~^
  150 |             Xj_array,
      |             ~~~~~~~~~
  151 |             _mat.middleCols(j, q).array().colwise() * sqrt_weights.matrix().transpose().array(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  152 |             _n_threads
      |             ~~~~~~~~~~
  153 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10:   required from here
  126 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:189:51:   required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >; size_t = long unsigned int]’
  189 |         x1.middleRows(begin, size) = x2.middleRows(begin, size);
      |                                      ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:149:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  149 |         dmmeq(
      |         ~~~~~^
  150 |             Xj_array,
      |             ~~~~~~~~~
  151 |             _mat.middleCols(j, q).array().colwise() * sqrt_weights.matrix().transpose().array(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  152 |             _n_threads
      |             ~~~~~~~~~~
  153 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10:   required from here
  126 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1> > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1> >’
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::SparseMatrix<double, 1> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Block<const Eigen::SparseMatrix<double, 1>, -1, -1, false>, Eigen::internal::IteratorBased, double>’
  438 |       CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                           ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from ‘struct Eigen::internal::block_evaluator<const Eigen::SparseMatrix<double, 1>, -1, -1, false, false>’
 1087 | struct block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, /*HasDirectAccess*/ false>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double, 1>, -1, -1, false> >’
 1034 | struct evaluator<Block<ArgType, BlockRows, BlockCols, InnerPanel> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::SparseMatrix<double, 1>, -1, -1, false>; _Scalar = double; int _Options = 1; _StorageIndex = int]’
  687 |       const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:238:25:   required from ‘void adelie_core::matrix::MatrixNaiveCConcatenate<ValueType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  238 |             mat.sp_btmul(v.middleCols(n_processed, q_curr), buff);
      |             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:224:10:   required from here
  224 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double, 1>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::SparseMatrix<double, 1>, -1, -1, false>; _Scalar = double; int _Options = 1; _StorageIndex = int]’
  687 |       const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:238:25:   required from ‘void adelie_core::matrix::MatrixNaiveCConcatenate<ValueType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  238 |             mat.sp_btmul(v.middleCols(n_processed, q_curr), buff);
      |             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:224:10:   required from here
  224 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:47:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   42 |             cov.noalias() = block.transpose() * _X;
      |                             ~~~~~~~~~~~~~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:27:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   56 |             cov.middleRows(begin, size).noalias() = (
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:57:59:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   56 |             cov.middleRows(begin, size).noalias() = (
      |                                                     ~      
   57 |                 block.transpose().middleRows(begin, size) * _X
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
   58 |             );
      |             ~                                              
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:133:19:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  133 |             dvaddi(out, v * mat.row(i_rel).array(), _n_threads);
      |             ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:114:10:   required from here
  114 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:74:23:   required from ‘void adelie_core::matrix::MatrixCovDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   74 |                 dvaddi(out, v * _mat.col(i).array(), _n_threads);
      |                 ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:60:10:   required from here
   60 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   required from ‘struct Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >::CastXpr<double>’
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:108:62:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  108 |                     (m_slice == index).template cast<value_t>().matrix(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  286 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13:   required from here
  279 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:108:71:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  108 |                     (m_slice == index).template cast<value_t>().matrix(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  286 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13:   required from here
  279 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:13)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:13)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:13)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:13)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:136:45:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  136 |                     vec_value_t::NullaryExpr(_mat.rows(), [=](auto) {
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
  137 |                         return v;
      |                         ~~~~~~~~~            
  138 |                     }),
      |                     ~~                       
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:296:9:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  296 |         _ctmul(j, v, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:289:10:   required from here
  289 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:147:23:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  147 |                     v * (m_slice == index).template cast<value_t>(),
      |                     ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:296:9:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  296 |         _ctmul(j, v, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:289:10:   required from here
  289 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:14)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:14)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:14)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:14)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:221:45:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  221 |                     vec_value_t::NullaryExpr(_mat.rows(), [&](auto) {
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
  222 |                         return v[0];
      |                         ~~~~~~~~~~~~         
  223 |                     }),
      |                     ~~                       
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:337:13:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  337 |             _btmul(jj, slice, index, level, size, v_curr, out, _n_threads);
      |             ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:321:10:   required from here
  321 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:15)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:15)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:15)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:15)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:231:45:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  231 |                     vec_value_t::NullaryExpr(_mat.rows(), [&](auto i) {
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |                         const int k = _mat(i, slice);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |                         return v[k];
      |                         ~~~~~~~~~~~~         
  234 |                     }),
      |                     ~~                       
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:337:13:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  337 |             _btmul(jj, slice, index, level, size, v_curr, out, _n_threads);
      |             ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:321:10:   required from here
  321 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:29:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:405:33:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  405 |                 out(0, 0) = ddot(sqrt_w_mi, sqrt_w_mi, _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:373:10:   required from here
  373 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:131:80:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  131 |                         return ddot((v * w).matrix(), _mat.col(i0).cwiseProduct(_mat.col(i1)).transpose(), n_threads, _buff);
      |                                                       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  468 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13:   required from here
  461 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:131:104:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  131 |                         return ddot((v * w).matrix(), _mat.col(i0).cwiseProduct(_mat.col(i1)).transpose(), n_threads, _buff);
      |                                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  468 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13:   required from here
  461 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:151:30:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  151 |                         (mi1 * (mi0 == k0).template cast<value_t>()).matrix(),
      |                         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  468 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13:   required from here
  461 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:151:76:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  151 |                         (mi1 * (mi0 == k0).template cast<value_t>()).matrix(),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  468 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13:   required from here
  461 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   required from ‘struct Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >::CastXpr<double>’
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:184:72:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  184 |                     ((mi0 == k0) && (mi1 == k1)).template cast<value_t>().matrix(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  468 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13:   required from here
  461 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:184:81:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  184 |                     ((mi0 == k0) && (mi1 == k1)).template cast<value_t>().matrix(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  468 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13:   required from here
  461 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:224:74:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  224 |                         dvaddi(out, v * _mat.col(i0).transpose().array() * _mat.col(i1).transpose().array(), n_threads);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  478 |         _ctmul(j, v, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10:   required from here
  471 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:243:33:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  243 |                         v * mi1 * (mi0 == k0).template cast<value_t>(),
      |                         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  478 |         _ctmul(j, v, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10:   required from here
  471 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:273:23:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  273 |                     v * ((mi0 == k0) && (mi1 == k1)).template cast<value_t>(),
      |                     ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  478 |         _ctmul(j, v, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10:   required from here
  471 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:373:54:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  373 |                 dvaddi(out, v[0] * mi0 + mi1 * (v[1] + v[2] * mi0), n_threads);
      |                                                ~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  533 |             _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads);
      |             ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10:   required from here
  510 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:373:46:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  373 |                 dvaddi(out, v[0] * mi0 + mi1 * (v[1] + v[2] * mi0), n_threads);
      |                                          ~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  533 |             _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads);
      |             ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10:   required from here
  510 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:373:40:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  373 |                 dvaddi(out, v[0] * mi0 + mi1 * (v[1] + v[2] * mi0), n_threads);
      |                             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  533 |             _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads);
      |             ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10:   required from here
  510 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:8)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:8)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:8)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:8)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:379:45:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  379 |                     vec_value_t::NullaryExpr(_mat.rows(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
  380 |                         [&](auto i) {
      |                         ~~~~~~~~~~~~~        
  381 |                             const int k0 = _mat(i, i0);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  382 |                             return v[k0] + v[l0 + k0] * _mat(i, i1);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  383 |                         }
      |                         ~                    
  384 |                     ),
      |                     ~                        
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  533 |             _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads);
      |             ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10:   required from here
  510 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:9)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:9)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:9)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:9)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:392:45:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  392 |                     vec_value_t::NullaryExpr(_mat.rows(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
  393 |                         [&](auto i) {
      |                         ~~~~~~~~~~~~~        
  394 |                             const int k1 = _mat(i, i1);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  395 |                             const auto b = _n_levels_cont * k1;
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  396 |                             return v[b] + v[b+1] * _mat(i, i0);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  397 |                         }
      |                         ~                    
  398 |                     ),
      |                     ~                        
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  533 |             _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads);
      |             ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10:   required from here
  510 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:10)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:10)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:10)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:10)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:406:45:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  406 |                     vec_value_t::NullaryExpr(_mat.rows(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
  407 |                         [&](auto i) {
      |                         ~~~~~~~~~~~~~        
  408 |                             const int k0 = _mat(i, i0);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  409 |                             const int k1 = _mat(i, i1);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |                             return v[k1 * l0 + k0];
      |                             ~~~~~~~~~~~~~~~~~~~~~~~
  411 |                         }
      |                         ~                    
  412 |                     ),
      |                     ~                        
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  533 |             _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads);
      |             ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10:   required from here
  510 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:19:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; X2Type = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
   96 |         x1.segment(begin, size) = x2.segment(begin, size);
      |         ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:614:22:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  614 |                 dvveq(w, sqrt_w.square(), _n_threads);
      |                 ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:45:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; X2Type = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
   96 |         x1.segment(begin, size) = x2.segment(begin, size);
      |                                   ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:614:22:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  614 |                 dvveq(w, sqrt_w.square(), _n_threads);
      |                 ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:29:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  615 |                 out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                                               ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  615 |                 out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                                               ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:616:33:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  616 |                 out(1, 0) = ddot(w.matrix(), (mi0 * mi1).matrix(), _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                                               ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:618:33:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  618 |                 out(2, 0) = ddot(w.matrix(), (mi0.square() * mi1).matrix(), _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                                               ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:620:33:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  620 |                 out(2, 2) = ddot(w.matrix(), (mi0 * mi1).square().matrix(), _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:227:26:   required from ‘adelie_core::matrix::MatrixNaiveCSubset<double, int>::sp_btmul(const adelie_core::matrix::MatrixNaiveBase<double, int>::sp_mat_value_t&, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >)::<lambda(auto:27)> [with auto:27 = int]’
  227 |             out_k.setZero();
      |             ~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:233:60:   required from ‘void adelie_core::matrix::MatrixNaiveCSubset<ValueType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  233 |             for (int k = 0; k < v.outerSize(); ++k) routine(k);
      |                                                     ~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:215:10:   required from here
  215 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:7:   required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >]’
   33 |       Map<Matrix<Scalar,Dynamic,1> >(mat+stride*i+i, size-i) +=
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’
   85 |   internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   86 |     (IsRowMajor ? int(UpLo==Upper ? Lower : Upper) : UpLo)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   87 |     ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha);
      |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  179 |             out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1);
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10:   required from here
  157 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:82:   required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >]’
   34 |                         (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i)
      |                                                                            ~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’
   85 |   internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   86 |     (IsRowMajor ? int(UpLo==Upper ? Lower : Upper) : UpLo)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   87 |     ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha);
      |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  179 |             out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1);
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10:   required from here
  157 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74:   required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >]’
   34 |                         (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i)
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’
   85 |   internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   86 |     (IsRowMajor ? int(UpLo==Upper ? Lower : Upper) : UpLo)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   87 |     ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha);
      |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  179 |             out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1);
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10:   required from here
  157 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:68:   required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >]’
   35 |                       + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i);
      |                                                              ~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’
   85 |   internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   86 |     (IsRowMajor ? int(UpLo==Upper ? Lower : Upper) : UpLo)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   87 |     ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha);
      |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  179 |             out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1);
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10:   required from here
  157 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60:   required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >]’
   35 |                       + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’
   85 |   internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   86 |     (IsRowMajor ? int(UpLo==Upper ? Lower : Upper) : UpLo)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   87 |     ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha);
      |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  179 |             out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1);
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10:   required from here
  157 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23:   required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >]’
   34 |                         (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i)
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                       + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i);
      |                       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’
   85 |   internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   86 |     (IsRowMajor ? int(UpLo==Upper ? Lower : Upper) : UpLo)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   87 |     ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha);
      |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  179 |             out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1);
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10:   required from here
  157 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:158:20:   required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  158 |         out.setZero(); // don't parallelize! q is usually small
      |         ~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:143:10:   required from here
  143 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   required from ‘struct Eigen::internal::blas_traits<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
  506 |     >::type DirectLinearAccessType;
      |             ^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:89:62:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
   89 |     typedef typename OtherBlasTraits::DirectLinearAccessType ActualOtherType;
      |                                                              ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  433 |             XTWX.template selfadjointView<Eigen::Lower>().rankUpdate(sqrt_WX.transpose());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10:   required from here
  400 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   required from ‘struct Eigen::internal::blas_traits<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >’
  506 |     >::type DirectLinearAccessType;
      |             ^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:89:62:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; OtherType = Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
   89 |     typedef typename OtherBlasTraits::DirectLinearAccessType ActualOtherType;
      |                                                              ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:157:29:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  157 |         out_lower.rankUpdate(Xj.transpose());
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10:   required from here
  126 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:232:20:   required from ‘void adelie_core::matrix::MatrixNaiveCConcatenate<ValueType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  232 |         out.setZero();
      |         ~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:224:10:   required from here
  224 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                                               ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:106:28:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  106 |                 return ddot(
      |                        ~~~~^
  107 |                     (v * w).matrix(),
      |                     ~~~~~~~~~~~~~~~~~
  108 |                     (m_slice == index).template cast<value_t>().matrix(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |                     n_threads,
      |                     ~~~~~~~~~~
  110 |                     _buff
      |                     ~~~~~   
  111 |                 );
      |                 ~           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  286 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13:   required from here
  279 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:13)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:13)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:13)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:13)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:13)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:13)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:13)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseNullaryOp<MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:13)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:134:23:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  134 |                 dvaddi(
      |                 ~~~~~~^
  135 |                     out,
      |                     ~~~~
  136 |                     vec_value_t::NullaryExpr(_mat.rows(), [=](auto) {
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  137 |                         return v;
      |                         ~~~~~~~~~
  138 |                     }),
      |                     ~~~
  139 |                     n_threads
      |                     ~~~~~~~~~
  140 |                 );
      |                 ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:296:9:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  296 |         _ctmul(j, v, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:289:10:   required from here
  289 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:145:23:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  145 |                 dvaddi(
      |                 ~~~~~~^
  146 |                     out,
      |                     ~~~~
  147 |                     v * (m_slice == index).template cast<value_t>(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  148 |                     n_threads
      |                     ~~~~~~~~~
  149 |                 );
      |                 ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:296:9:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  296 |         _ctmul(j, v, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:289:10:   required from here
  289 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:14)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:14)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:14)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:14)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:14)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:14)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:14)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseNullaryOp<MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:14)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:219:23:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  219 |                 dvaddi(
      |                 ~~~~~~^
  220 |                     out,
      |                     ~~~~
  221 |                     vec_value_t::NullaryExpr(_mat.rows(), [&](auto) {
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  222 |                         return v[0];
      |                         ~~~~~~~~~~~~
  223 |                     }),
      |                     ~~~
  224 |                     n_threads
      |                     ~~~~~~~~~
  225 |                 );
      |                 ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:337:13:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  337 |             _btmul(jj, slice, index, level, size, v_curr, out, _n_threads);
      |             ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:321:10:   required from here
  321 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:15)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:15)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:15)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:15)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:15)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:15)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:15)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseNullaryOp<MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:15)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:229:23:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  229 |                 dvaddi(
      |                 ~~~~~~^
  230 |                     out,
      |                     ~~~~
  231 |                     vec_value_t::NullaryExpr(_mat.rows(), [&](auto i) {
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |                         const int k = _mat(i, slice);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |                         return v[k];
      |                         ~~~~~~~~~~~~
  234 |                     }),
      |                     ~~~
  235 |                     n_threads
      |                     ~~~~~~~~~
  236 |                 );
      |                 ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:337:13:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  337 |             _btmul(jj, slice, index, level, size, v_curr, out, _n_threads);
      |             ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:321:10:   required from here
  321 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                                               ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:131:36:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  131 |                         return ddot((v * w).matrix(), _mat.col(i0).cwiseProduct(_mat.col(i1)).transpose(), n_threads, _buff);
      |                                ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  468 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13:   required from here
  461 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                                               ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:149:32:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  149 |                     return ddot(
      |                            ~~~~^
  150 |                         (v * w).matrix(),
      |                         ~~~~~~~~~~~~~~~~~
  151 |                         (mi1 * (mi0 == k0).template cast<value_t>()).matrix(),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  152 |                         n_threads,
      |                         ~~~~~~~~~~
  153 |                         _buff
      |                         ~~~~~   
  154 |                     );
      |                     ~           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  468 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13:   required from here
  461 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                                               ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:182:28:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  182 |                 return ddot(
      |                        ~~~~^
  183 |                     (v * w).matrix(),
      |                     ~~~~~~~~~~~~~~~~~
  184 |                     ((mi0 == k0) && (mi1 == k1)).template cast<value_t>().matrix(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  185 |                     n_threads,
      |                     ~~~~~~~~~~
  186 |                     _buff
      |                     ~~~~~   
  187 |                 );
      |                 ~           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  468 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13:   required from here
  461 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:224:31:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  224 |                         dvaddi(out, v * _mat.col(i0).transpose().array() * _mat.col(i1).transpose().array(), n_threads);
      |                         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  478 |         _ctmul(j, v, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10:   required from here
  471 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:241:27:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  241 |                     dvaddi(
      |                     ~~~~~~^
  242 |                         out,
      |                         ~~~~
  243 |                         v * mi1 * (mi0 == k0).template cast<value_t>(),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |                         n_threads
      |                         ~~~~~~~~~
  245 |                     );
      |                     ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  478 |         _ctmul(j, v, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10:   required from here
  471 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:271:23:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  271 |                 dvaddi(
      |                 ~~~~~~^
  272 |                     out,
      |                     ~~~~
  273 |                     v * ((mi0 == k0) && (mi1 == k1)).template cast<value_t>(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  274 |                     n_threads
      |                     ~~~~~~~~~
  275 |                 );
      |                 ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  478 |         _ctmul(j, v, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10:   required from here
  471 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:29:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:310:30:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_bmul(int, int, int, int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  310 |                 out[2] = ddot(_mat.col(i0).cwiseProduct(_mat.col(i1)), (v * w).matrix(), n_threads, _buff);
      |                          ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:505:13:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  505 |             _bmul(jj, i0, i1, l0, l1, index, v, weights, out_curr, _n_threads);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:481:10:   required from here
  481 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:373:23:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  373 |                 dvaddi(out, v[0] * mi0 + mi1 * (v[1] + v[2] * mi0), n_threads);
      |                 ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  533 |             _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads);
      |             ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10:   required from here
  510 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:8)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:8)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:8)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:8)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:8)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:8)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:8)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseNullaryOp<MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:8)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:377:23:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  377 |                 dvaddi(
      |                 ~~~~~~^
  378 |                     out,
      |                     ~~~~
  379 |                     vec_value_t::NullaryExpr(_mat.rows(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  380 |                         [&](auto i) {
      |                         ~~~~~~~~~~~~~
  381 |                             const int k0 = _mat(i, i0);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  382 |                             return v[k0] + v[l0 + k0] * _mat(i, i1);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  383 |                         }
      |                         ~
  384 |                     ),
      |                     ~~ 
  385 |                     n_threads
      |                     ~~~~~~~~~
  386 |                 );
      |                 ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  533 |             _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads);
      |             ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10:   required from here
  510 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:9)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:9)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:9)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:9)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:9)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:9)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:9)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseNullaryOp<MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:9)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:390:23:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  390 |                 dvaddi(
      |                 ~~~~~~^
  391 |                     out,
      |                     ~~~~
  392 |                     vec_value_t::NullaryExpr(_mat.rows(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  393 |                         [&](auto i) {
      |                         ~~~~~~~~~~~~~
  394 |                             const int k1 = _mat(i, i1);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  395 |                             const auto b = _n_levels_cont * k1;
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  396 |                             return v[b] + v[b+1] * _mat(i, i0);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  397 |                         }
      |                         ~
  398 |                     ),
      |                     ~~ 
  399 |                     n_threads
      |                     ~~~~~~~~~
  400 |                 );
      |                 ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  533 |             _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads);
      |             ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10:   required from here
  510 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:10)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:10)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:10)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:10)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:10)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:10)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:10)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseNullaryOp<MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:10)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:404:23:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  404 |                 dvaddi(
      |                 ~~~~~~^
  405 |                     out,
      |                     ~~~~
  406 |                     vec_value_t::NullaryExpr(_mat.rows(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  407 |                         [&](auto i) {
      |                         ~~~~~~~~~~~~~
  408 |                             const int k0 = _mat(i, i0);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  409 |                             const int k1 = _mat(i, i1);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |                             return v[k1 * l0 + k0];
      |                             ~~~~~~~~~~~~~~~~~~~~~~~
  411 |                         }
      |                         ~
  412 |                     ),
      |                     ~~ 
  413 |                     n_threads
      |                     ~~~~~~~~~
  414 |                 );
      |                 ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  533 |             _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads);
      |             ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10:   required from here
  510 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:346:24:   required from ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::coeffRef(Eigen::Index, Eigen::Index) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
  346 |       return internal::evaluator<Derived>(derived()).coeffRef(row,col);
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:368:22:   required from ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::operator()(Eigen::Index, Eigen::Index) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’
  368 |       return coeffRef(row, col);
      |              ~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:638:27:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  638 |                     out_11(k0, k0) += wi;
      |                     ~~~~~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; Src = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Func = add_assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; Src = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_matrix.h:125:13:   required from ‘void adelie_core::matrix::MatrixNaiveS4<ValueType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  125 |         out += Rcpp::as<Eigen::Map<colvec_value_t>>(
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  126 |             ADELIE_CORE_S4_PURE_OVERRIDE(ctmul, _mat, j, v)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  127 |         );
      |         ~    
rcpp_matrix.h:119:10:   required from here
  119 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; U = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Derived = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; X2Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:68:32:   required from ‘typename adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   68 |             (c == 0) ? 0 : ddot(v.matrix(), weights.matrix(), _n_threads, _buff)
      |                            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:59:13:   required from here
   59 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; X2Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:68:32:   required from ‘typename adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   68 |             (c == 0) ? 0 : ddot(v.matrix(), weights.matrix(), _n_threads, _buff)
      |                            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:59:13:   required from here
   59 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; U = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; Derived = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:122:30:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  122 |         const auto vsc = ddot(
      |                          ~~~~^
  123 |             _centers.segment(j, q).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  124 |             vs.matrix(),
      |             ~~~~~~~~~~~~      
  125 |             _n_threads,
      |             ~~~~~~~~~~~       
  126 |             _buff
      |             ~~~~~             
  127 |         );
      |         ~                     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10:   required from here
  110 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:122:30:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  122 |         const auto vsc = ddot(
      |                          ~~~~^
  123 |             _centers.segment(j, q).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  124 |             vs.matrix(),
      |             ~~~~~~~~~~~~      
  125 |             _n_threads,
      |             ~~~~~~~~~~~       
  126 |             _buff
      |             ~~~~~             
  127 |         );
      |         ~                     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10:   required from here
  110 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:29:114:   required from ‘static void Eigen::selfadjoint_rank1_update<Scalar, Index, 0, UpLo, ConjLhs, ConjRhs>::run(Index, Scalar*, Index, const Scalar*, const Scalar*, const Scalar&) [with Scalar = double; Index = long int; int UpLo = 1; bool ConjLhs = false; bool ConjRhs = false]’
   29 |     typedef typename internal::conditional<ConjLhs,typename OtherMap::ConjugateReturnType,const OtherMap&>::type ConjLhsType;
      |                                                                                                                  ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, true>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; OtherType = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
   75 |     selfadjoint_rank1_update<Scalar,Index,StorageOrder,UpLo,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   76 |                               OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   77 |                             (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex>
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   78 |           ::run(other.size(), mat.data(), mat.outerStride(), actualOtherPtr, actualOtherPtr, actualAlpha);
      |           ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:180:33:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  180 |             out_lower.rankUpdate(centers.matrix().transpose(), sqrt_weights.square().sum());
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10:   required from here
  157 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:33:36:   required from ‘static void Eigen::selfadjoint_rank1_update<Scalar, Index, 0, UpLo, ConjLhs, ConjRhs>::run(Index, Scalar*, Index, const Scalar*, const Scalar*, const Scalar&) [with Scalar = double; Index = long int; int UpLo = 1; bool ConjLhs = false; bool ConjRhs = false]’
   33 |           += (alpha * cj(vecY[i])) * ConjLhsType(OtherMap(vecX+(UpLo==Lower ? i : 0),UpLo==Lower ? size-i : (i+1)));
      |              ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, true>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; OtherType = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
   75 |     selfadjoint_rank1_update<Scalar,Index,StorageOrder,UpLo,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   76 |                               OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   77 |                             (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex>
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   78 |           ::run(other.size(), mat.data(), mat.outerStride(), actualOtherPtr, actualOtherPtr, actualAlpha);
      |           ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:180:33:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  180 |             out_lower.rankUpdate(centers.matrix().transpose(), sqrt_weights.square().sum());
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10:   required from here
  157 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:691:18:   required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry<std::shared_ptr<char> >; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; OutType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
  691 |     mbuff.setZero();
      |     ~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:108:38:   required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  108 |         snp_phased_ancestry_block_dot(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  109 |             _io, j, q, v * weights, out, _n_threads, _buff
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |         );
      |         ~                             
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:99:10:   required from here
   99 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  320 |         return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff);
      |                ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13:   required from here
  308 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  320 |         return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff);
      |                ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13:   required from here
  308 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:159:35:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’
  159 |     return buff.head(n_blocks).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  320 |         return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff);
      |                ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13:   required from here
  308 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:330:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
   72 |     typedef blas_data_mapper<typename Traits::ResScalar, Index, ColMajor, Unaligned, ResInnerStride> ResMapper;
      |                                                                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  433 |             XTWX.template selfadjointView<Eigen::Lower>().rankUpdate(sqrt_WX.transpose());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10:   required from here
  400 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
   92 |     gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  433 |             XTWX.template selfadjointView<Eigen::Lower>().rankUpdate(sqrt_WX.transpose());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10:   required from here
  400 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
   92 |     gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  433 |             XTWX.template selfadjointView<Eigen::Lower>().rankUpdate(sqrt_WX.transpose());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10:   required from here
  400 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Derived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:50:20:   required from ‘typename adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   50 |         return ddot(_mat.col(j), (v * weights).matrix(), _n_threads, vbuff);
      |                ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:42:13:   required from here
   42 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:50:20:   required from ‘typename adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   50 |         return ddot(_mat.col(j), (v * weights).matrix(), _n_threads, vbuff);
      |                ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:42:13:   required from here
   42 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:50:20:   required from ‘typename adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   50 |         return ddot(_mat.col(j), (v * weights).matrix(), _n_threads, vbuff);
      |                ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:42:13:   required from here
   42 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  213 |             out += v * m;
      |             ~~~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:142:29:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  142 |             out(0, 0) = ddot(sqrt_w_mj, sqrt_w_mj, _n_threads, vbuff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10:   required from here
  126 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:142:29:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  142 |             out(0, 0) = ddot(sqrt_w_mj, sqrt_w_mj, _n_threads, vbuff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10:   required from here
  126 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:405:33:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  405 |                 out(0, 0) = ddot(sqrt_w_mi, sqrt_w_mi, _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:373:10:   required from here
  373 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:405:33:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  405 |                 out(0, 0) = ddot(sqrt_w_mi, sqrt_w_mi, _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:373:10:   required from here
  373 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  615 |                 out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  615 |                 out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:616:33:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  616 |                 out(1, 0) = ddot(w.matrix(), (mi0 * mi1).matrix(), _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:616:33:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  616 |                 out(1, 0) = ddot(w.matrix(), (mi0 * mi1).matrix(), _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:618:33:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  618 |                 out(2, 0) = ddot(w.matrix(), (mi0.square() * mi1).matrix(), _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:618:33:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  618 |                 out(2, 0) = ddot(w.matrix(), (mi0.square() * mi1).matrix(), _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Derived = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:620:33:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  620 |                 out(2, 2) = ddot(w.matrix(), (mi0 * mi1).square().matrix(), _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:620:33:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  620 |                 out(2, 2) = ddot(w.matrix(), (mi0 * mi1).square().matrix(), _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:180:89:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  180 |             out_lower.rankUpdate(centers.matrix().transpose(), sqrt_weights.square().sum());
      |                                                                ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10:   required from here
  157 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:605:21:   required from ‘auto adelie_core::matrix::snp_phased_ancestry_dot(const IOType&, int, const VType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry<std::shared_ptr<char> >; VType = Eigen::CwiseNullaryOp<MatrixNaiveSNPPhasedAncestry<double, std::shared_ptr<char>, int>::cov(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >)::<lambda(auto:18)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
  605 |     return vbuff.sum();
      |            ~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:297:65:   required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  297 |                         const auto sum = snp_phased_ancestry_dot(
      |                                          ~~~~~~~~~~~~~~~~~~~~~~~^
  298 |                             _io, begin1 + a1,
      |                             ~~~~~~~~~~~~~~~~~                    
  299 |                             vec_value_t::NullaryExpr(sqrt_weights.size(), [&](auto i) {
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  300 |                                 const auto sqrt_wi = sqrt_weights[i];
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  301 |                                 return sqrt_wi * sqrt_wi * _bbuff[i];
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  302 |                             }),
      |                             ~~~                                  
  303 |                             _n_threads,
      |                             ~~~~~~~~~~~                          
  304 |                             _buff
      |                             ~~~~~                                
  305 |                         );
      |                         ~                                        
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:143:10:   required from here
  143 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
  100 |       pack_rhs(blockB, rhs.getSubMapper(k2,0), actual_kc, size);
      |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  433 |             XTWX.template selfadjointView<Eigen::Lower>().rankUpdate(sqrt_WX.transpose());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10:   required from here
  400 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
  106 |         pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  433 |             XTWX.template selfadjointView<Eigen::Lower>().rankUpdate(sqrt_WX.transpose());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10:   required from here
  400 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
  113 |           gebp(res.getSubMapper(i2, 0), blockA, blockB, actual_mc, actual_kc,
      |           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  114 |                (std::min)(size,i2), alpha, -1, -1, 0, 0);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  433 |             XTWX.template selfadjointView<Eigen::Lower>().rankUpdate(sqrt_WX.transpose());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10:   required from here
  400 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 16>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 4>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’
  155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
      |                                                    ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  433 |             XTWX.template selfadjointView<Eigen::Lower>().rankUpdate(sqrt_WX.transpose());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10:   required from here
  400 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’
  155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
      |                                                    ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  433 |             XTWX.template selfadjointView<Eigen::Lower>().rankUpdate(sqrt_WX.transpose());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10:   required from here
  400 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; Func = assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:496:30:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  496 |                 out_k.col(l) = _out.row(k);
      |                 ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10:   required from here
  449 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Src = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = add_assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Src = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:22:12:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
   22 |         x1 += x2;
      |         ~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:78:15:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   78 |         dvaddi(Out_l, _out, _n_threads);
      |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:64:10:   required from here
   64 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = add_assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:78:15:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   78 |         dvaddi(Out_l, _out, _n_threads);
      |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:64:10:   required from here
   64 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Func = add_assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:74:23:   required from ‘void adelie_core::matrix::MatrixCovDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   74 |                 dvaddi(out, v * _mat.col(i).array(), _n_threads);
      |                 ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:60:10:   required from here
   60 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:97:28:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
   97 |                 return ddot((v * w).matrix(), _mat.col(slice), n_threads, _buff);
      |                        ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  286 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13:   required from here
  279 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:97:28:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
   97 |                 return ddot((v * w).matrix(), _mat.col(slice), n_threads, _buff);
      |                        ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  286 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13:   required from here
  279 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:97:28:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
   97 |                 return ddot((v * w).matrix(), _mat.col(slice), n_threads, _buff);
      |                        ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  286 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13:   required from here
  279 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:97:28:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
   97 |                 return ddot((v * w).matrix(), _mat.col(slice), n_threads, _buff);
      |                        ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  286 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13:   required from here
  279 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; U = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:106:28:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  106 |                 return ddot(
      |                        ~~~~^
  107 |                     (v * w).matrix(),
      |                     ~~~~~~~~~~~~~~~~~
  108 |                     (m_slice == index).template cast<value_t>().matrix(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |                     n_threads,
      |                     ~~~~~~~~~~
  110 |                     _buff
      |                     ~~~~~   
  111 |                 );
      |                 ~           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  286 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13:   required from here
  279 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:106:28:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  106 |                 return ddot(
      |                        ~~~~^
  107 |                     (v * w).matrix(),
      |                     ~~~~~~~~~~~~~~~~~
  108 |                     (m_slice == index).template cast<value_t>().matrix(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |                     n_threads,
      |                     ~~~~~~~~~~
  110 |                     _buff
      |                     ~~~~~   
  111 |                 );
      |                 ~           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  286 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13:   required from here
  279 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; U = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:123:36:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  123 |                         return ddot((v * w).matrix(), _mat.col(i0).transpose(), n_threads, _buff);
      |                                ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  468 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13:   required from here
  461 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:123:36:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  123 |                         return ddot((v * w).matrix(), _mat.col(i0).transpose(), n_threads, _buff);
      |                                ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  468 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13:   required from here
  461 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; U = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:131:36:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  131 |                         return ddot((v * w).matrix(), _mat.col(i0).cwiseProduct(_mat.col(i1)).transpose(), n_threads, _buff);
      |                                ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  468 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13:   required from here
  461 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:131:36:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  131 |                         return ddot((v * w).matrix(), _mat.col(i0).cwiseProduct(_mat.col(i1)).transpose(), n_threads, _buff);
      |                                ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  468 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13:   required from here
  461 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:149:32:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  149 |                     return ddot(
      |                            ~~~~^
  150 |                         (v * w).matrix(),
      |                         ~~~~~~~~~~~~~~~~~
  151 |                         (mi1 * (mi0 == k0).template cast<value_t>()).matrix(),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  152 |                         n_threads,
      |                         ~~~~~~~~~~
  153 |                         _buff
      |                         ~~~~~   
  154 |                     );
      |                     ~           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  468 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13:   required from here
  461 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:149:32:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  149 |                     return ddot(
      |                            ~~~~^
  150 |                         (v * w).matrix(),
      |                         ~~~~~~~~~~~~~~~~~
  151 |                         (mi1 * (mi0 == k0).template cast<value_t>()).matrix(),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  152 |                         n_threads,
      |                         ~~~~~~~~~~
  153 |                         _buff
      |                         ~~~~~   
  154 |                     );
      |                     ~           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  468 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13:   required from here
  461 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; U = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:182:28:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  182 |                 return ddot(
      |                        ~~~~^
  183 |                     (v * w).matrix(),
      |                     ~~~~~~~~~~~~~~~~~
  184 |                     ((mi0 == k0) && (mi1 == k1)).template cast<value_t>().matrix(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  185 |                     n_threads,
      |                     ~~~~~~~~~~
  186 |                     _buff
      |                     ~~~~~   
  187 |                 );
      |                 ~           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  468 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13:   required from here
  461 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:182:28:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  182 |                 return ddot(
      |                        ~~~~^
  183 |                     (v * w).matrix(),
      |                     ~~~~~~~~~~~~~~~~~
  184 |                     ((mi0 == k0) && (mi1 == k1)).template cast<value_t>().matrix(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  185 |                     n_threads,
      |                     ~~~~~~~~~~
  186 |                     _buff
      |                     ~~~~~   
  187 |                 );
      |                 ~           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  468 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13:   required from here
  461 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:310:30:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_bmul(int, int, int, int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  310 |                 out[2] = ddot(_mat.col(i0).cwiseProduct(_mat.col(i1)), (v * w).matrix(), n_threads, _buff);
      |                          ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:505:13:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  505 |             _bmul(jj, i0, i1, l0, l1, index, v, weights, out_curr, _n_threads);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:481:10:   required from here
  481 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:310:30:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_bmul(int, int, int, int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  310 |                 out[2] = ddot(_mat.col(i0).cwiseProduct(_mat.col(i1)), (v * w).matrix(), n_threads, _buff);
      |                          ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:505:13:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  505 |             _bmul(jj, i0, i1, l0, l1, index, v, weights, out_curr, _n_threads);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:481:10:   required from here
  481 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:310:30:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_bmul(int, int, int, int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  310 |                 out[2] = ddot(_mat.col(i0).cwiseProduct(_mat.col(i1)), (v * w).matrix(), n_threads, _buff);
      |                          ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:505:13:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  505 |             _bmul(jj, i0, i1, l0, l1, index, v, weights, out_curr, _n_threads);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:481:10:   required from here
  481 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; X2Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:68:32:   required from ‘typename adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   68 |             (c == 0) ? 0 : ddot(v.matrix(), weights.matrix(), _n_threads, _buff)
      |                            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:59:13:   required from here
   59 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:122:30:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  122 |         const auto vsc = ddot(
      |                          ~~~~^
  123 |             _centers.segment(j, q).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  124 |             vs.matrix(),
      |             ~~~~~~~~~~~~      
  125 |             _n_threads,
      |             ~~~~~~~~~~~       
  126 |             _buff
      |             ~~~~~             
  127 |         );
      |         ~                     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10:   required from here
  110 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:122:30:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  122 |         const auto vsc = ddot(
      |                          ~~~~^
  123 |             _centers.segment(j, q).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  124 |             vs.matrix(),
      |             ~~~~~~~~~~~~      
  125 |             _n_threads,
      |             ~~~~~~~~~~~       
  126 |             _buff
      |             ~~~~~             
  127 |         );
      |         ~                     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10:   required from here
  110 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  320 |         return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff);
      |                ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13:   required from here
  308 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  320 |         return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff);
      |                ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13:   required from here
  308 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  320 |         return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff);
      |                ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13:   required from here
  308 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  320 |         return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff);
      |                ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13:   required from here
  308 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:159:35:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’
  159 |     return buff.head(n_blocks).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  320 |         return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff);
      |                ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13:   required from here
  308 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  397 |         Out.noalias() = _mat.transpose() * VW;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10:   required from here
  386 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  397 |         Out.noalias() = _mat.transpose() * VW;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10:   required from here
  386 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  397 |         Out.noalias() = _mat.transpose() * VW;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10:   required from here
  386 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  397 |         Out.noalias() = _mat.transpose() * VW;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10:   required from here
  386 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  397 |         Out.noalias() = _mat.transpose() * VW;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10:   required from here
  386 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  397 |         Out.noalias() = _mat.transpose() * VW;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10:   required from here
  386 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  397 |         Out.noalias() = _mat.transpose() * VW;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10:   required from here
  386 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Derived = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:82:12:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; size_t = long unsigned int]’
   82 |         x1 = x2;
      |         ~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:59:14:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   59 |         dvveq(_v, V.col(l), _n_threads);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:46:13:   required from here
   46 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Derived = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; size_t = long unsigned int]’
   96 |         x1.segment(begin, size) = x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:59:14:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   59 |         dvveq(_v, V.col(l), _n_threads);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:46:13:   required from here
   46 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Src = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Src = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:82:12:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; X2Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
   82 |         x1 = x2;
      |         ~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:106:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  106 |             dvveq(Out_curr, _out, _n_threads);
      |             ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; X2Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
   96 |         x1.segment(begin, size) = x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:106:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  106 |             dvveq(Out_curr, _out, _n_threads);
      |             ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:50:20:   required from ‘typename adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   50 |         return ddot(_mat.col(j), (v * weights).matrix(), _n_threads, vbuff);
      |                ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:42:13:   required from here
   42 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:142:29:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  142 |             out(0, 0) = ddot(sqrt_w_mj, sqrt_w_mj, _n_threads, vbuff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10:   required from here
  126 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’
  292 | struct evaluator<Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::internal::IteratorBased, double>’
  438 |       CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                           ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from ‘struct Eigen::internal::block_evaluator<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, -1, false, false>’
 1087 | struct block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, /*HasDirectAccess*/ false>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::SparseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:75:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
   75 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.hpp:102:13:   required from ‘void adelie_core::matrix::MatrixCovSparse<SparseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with SparseType = Eigen::SparseMatrix<double, 0, int>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  102 |         out = _mat.block(i, i, p, p);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.hpp:96:10:   required from here
   96 |     void to_dense(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; SrcXprType = Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  145 |     internal::evaluator<SrcXprType> srcEval(src);
      |                                     ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::SparseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Src = Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:75:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]’
   75 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.hpp:102:13:   required from ‘void adelie_core::matrix::MatrixCovSparse<SparseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with SparseType = Eigen::SparseMatrix<double, 0, int>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  102 |         out = _mat.block(i, i, p, p);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.hpp:96:10:   required from here
   96 |     void to_dense(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:405:33:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  405 |                 out(0, 0) = ddot(sqrt_w_mi, sqrt_w_mi, _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:373:10:   required from here
  373 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Derived = Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:82:12:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; X2Type = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
   82 |         x1 = x2;
      |         ~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:614:22:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  614 |                 dvveq(w, sqrt_w.square(), _n_threads);
      |                 ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>; Src = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>; Src = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Derived = Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; X2Type = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
   96 |         x1.segment(begin, size) = x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:614:22:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  614 |                 dvveq(w, sqrt_w.square(), _n_threads);
      |                 ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
 1384 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, double>’
 1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > > >’
 1384 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1452:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, Eigen::internal::IndexBased, double>’
 1452 | struct unary_evaluator<MatrixWrapper<TArgType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  615 |                 out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  615 |                 out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  615 |                 out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:616:33:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  616 |                 out(1, 0) = ddot(w.matrix(), (mi0 * mi1).matrix(), _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:618:33:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  618 |                 out(2, 0) = ddot(w.matrix(), (mi0.square() * mi1).matrix(), _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:620:33:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  620 |                 out(2, 2) = ddot(w.matrix(), (mi0 * mi1).square().matrix(), _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:423:24:   required from ‘void adelie_core::matrix::MatrixNaiveRSubset<ValueType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  423 |             out.col(i) = _out.col(_subset[i]);
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:412:10:   required from here
  412 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:423:24:   required from ‘void adelie_core::matrix::MatrixNaiveRSubset<ValueType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  423 |             out.col(i) = _out.col(_subset[i]);
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:412:10:   required from here
  412 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:23)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:23)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:23)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:23)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:23)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:181:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator-=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:23)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  181 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:66:33:   required from ‘void adelie_core::matrix::dvsubi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseNullaryOp<MatrixNaiveStandardize<double, int>::ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:23)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   66 |         x1.segment(begin, size) -= x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:84:15:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   84 |         dvsubi(
      |         ~~~~~~^
   85 |             out,
      |             ~~~~
   86 |             vec_value_t::NullaryExpr(out.size(), [&](auto) {
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   87 |                 return vsc;
      |                 ~~~~~~~~~~~
   88 |             }),
      |             ~~~
   89 |             _n_threads
      |             ~~~~~~~~~~
   90 |         );
      |         ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:73:10:   required from here
   73 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:24)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:24)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:24)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:24)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:24)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:181:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator-=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:24)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  181 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:66:33:   required from ‘void adelie_core::matrix::dvsubi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseNullaryOp<MatrixNaiveStandardize<double, int>::btmul(int, int, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >)::<lambda(auto:24)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   66 |         x1.segment(begin, size) -= x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:129:15:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  129 |         dvsubi(
      |         ~~~~~~^
  130 |             out,
      |             ~~~~
  131 |             vec_value_t::NullaryExpr(out.size(), [&](auto) { return vsc; }),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  132 |             _n_threads
      |             ~~~~~~~~~~
  133 |         );
      |         ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10:   required from here
  110 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Functor = add_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:22:12:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’
   22 |         x1 += x2;
      |         ~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:334:15:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  334 |         dvaddi(_out, v * _mat.col(i), _n_threads);
      |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:323:10:   required from here
  323 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:334:15:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  334 |         dvaddi(_out, v * _mat.col(i), _n_threads);
      |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:323:10:   required from here
  323 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Functor = add_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:334:15:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  334 |         dvaddi(_out, v * _mat.col(i), _n_threads);
      |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:323:10:   required from here
  323 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  397 |         Out.noalias() = _mat.transpose() * VW;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10:   required from here
  386 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  397 |         Out.noalias() = _mat.transpose() * VW;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10:   required from here
  386 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  397 |         Out.noalias() = _mat.transpose() * VW;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10:   required from here
  386 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’
  171 |         buffer.setZero();
      |         ~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  433 |             XTWX.template selfadjointView<Eigen::Lower>().rankUpdate(sqrt_WX.transpose());
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10:   required from here
  400 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:496:30:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  496 |                 out_k.col(l) = _out.row(k);
      |                 ~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10:   required from here
  449 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >; SrcXprType = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >; SrcXprType = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:78:15:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   78 |         dvaddi(Out_l, _out, _n_threads);
      |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:64:10:   required from here
   64 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >; SrcXprType = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >; SrcXprType = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:78:15:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   78 |         dvaddi(Out_l, _out, _n_threads);
      |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:64:10:   required from here
   64 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:60:15:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   60 |         dvaddi(out, v * _mat.col(j).transpose().array(), _n_threads);
      |         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:53:10:   required from here
   53 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; SrcXprType = Eigen::Matrix<double, 1, -1>; Functor = add_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; SrcXprType = Eigen::Matrix<double, 1, -1>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Matrix<double, 1, -1>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  851 |   call_assignment_no_alias(dst, tmp, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:235:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  235 |                 out.segment(begin, size) += v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:136:59:   required from ‘struct Eigen::internal::evaluator<Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0> >’
  136 |   typedef typename internal::nested_eval<ArgType,1>::type ArgTypeNested;
      |                                                           ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; SrcXprType = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, member_sum<double, double>, 0>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; SrcXprType = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, member_sum<double, double>, 0>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, member_sum<double, double>, 0>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  258 |             out += buff.block(0, 0, n_blocks, p).colwise().sum();
      |             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; SrcXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:481:46:   required from ‘void adelie_core::matrix::MatrixNaiveRConcatenate<ValueType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  481 |             out.middleCols(begin, rows_curr) = out_curr;
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:461:10:   required from here
  461 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   42 |             cov.noalias() = block.transpose() * _X;
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   42 |             cov.noalias() = block.transpose() * _X;
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   42 |             cov.noalias() = block.transpose() * _X;
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   42 |             cov.noalias() = block.transpose() * _X;
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   42 |             cov.noalias() = block.transpose() * _X;
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   56 |             cov.middleRows(begin, size).noalias() = (
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   57 |                 block.transpose().middleRows(begin, size) * _X
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   58 |             );
      |             ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   56 |             cov.middleRows(begin, size).noalias() = (
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   57 |                 block.transpose().middleRows(begin, size) * _X
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   58 |             );
      |             ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   56 |             cov.middleRows(begin, size).noalias() = (
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   57 |                 block.transpose().middleRows(begin, size) * _X
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   58 |             );
      |             ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   56 |             cov.middleRows(begin, size).noalias() = (
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   57 |                 block.transpose().middleRows(begin, size) * _X
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   58 |             );
      |             ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   56 |             cov.middleRows(begin, size).noalias() = (
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   57 |                 block.transpose().middleRows(begin, size) * _X
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   58 |             );
      |             ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   56 |             cov.middleRows(begin, size).noalias() = (
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   57 |                 block.transpose().middleRows(begin, size) * _X
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   58 |             );
      |             ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   56 |             cov.middleRows(begin, size).noalias() = (
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   57 |                 block.transpose().middleRows(begin, size) * _X
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   58 |             );
      |             ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
 1384 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
 1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >; Derived = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:22:12:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >; size_t = long unsigned int]’
   22 |         x1 += x2;
      |         ~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:133:19:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  133 |             dvaddi(out, v * mat.row(i_rel).array(), _n_threads);
      |             ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:114:10:   required from here
  114 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:133:19:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  133 |             dvaddi(out, v * mat.row(i_rel).array(), _n_threads);
      |             ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:114:10:   required from here
  114 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; SrcXprType = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; SrcXprType = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:154:47:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  154 |             out.middleCols(n_processed, size) = mat.block(k_rel, i, size, p).transpose();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:137:10:   required from here
  137 |     void to_dense(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; SrcXprType = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; SrcXprType = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:154:47:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::to_dense(int, int, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  154 |             out.middleCols(n_processed, size) = mat.block(k_rel, i, size, p).transpose();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:137:10:   required from here
  137 |     void to_dense(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:74:23:   required from ‘void adelie_core::matrix::MatrixCovDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   74 |                 dvaddi(out, v * _mat.col(i).array(), _n_threads);
      |                 ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:60:10:   required from here
   60 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:106:28:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  106 |                 return ddot(
      |                        ~~~~^
  107 |                     (v * w).matrix(),
      |                     ~~~~~~~~~~~~~~~~~
  108 |                     (m_slice == index).template cast<value_t>().matrix(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |                     n_threads,
      |                     ~~~~~~~~~~
  110 |                     _buff
      |                     ~~~~~   
  111 |                 );
      |                 ~           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  286 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13:   required from here
  279 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:123:36:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  123 |                         return ddot((v * w).matrix(), _mat.col(i0).transpose(), n_threads, _buff);
      |                                ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  468 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13:   required from here
  461 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:131:36:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  131 |                         return ddot((v * w).matrix(), _mat.col(i0).cwiseProduct(_mat.col(i1)).transpose(), n_threads, _buff);
      |                                ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  468 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13:   required from here
  461 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:149:32:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  149 |                     return ddot(
      |                            ~~~~^
  150 |                         (v * w).matrix(),
      |                         ~~~~~~~~~~~~~~~~~
  151 |                         (mi1 * (mi0 == k0).template cast<value_t>()).matrix(),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  152 |                         n_threads,
      |                         ~~~~~~~~~~
  153 |                         _buff
      |                         ~~~~~   
  154 |                     );
      |                     ~           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  468 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13:   required from here
  461 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:182:28:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  182 |                 return ddot(
      |                        ~~~~^
  183 |                     (v * w).matrix(),
      |                     ~~~~~~~~~~~~~~~~~
  184 |                     ((mi0 == k0) && (mi1 == k1)).template cast<value_t>().matrix(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  185 |                     n_threads,
      |                     ~~~~~~~~~~
  186 |                     _buff
      |                     ~~~~~   
  187 |                 );
      |                 ~           
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  468 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13:   required from here
  461 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:310:30:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_bmul(int, int, int, int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  310 |                 out[2] = ddot(_mat.col(i0).cwiseProduct(_mat.col(i1)), (v * w).matrix(), n_threads, _buff);
      |                          ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:505:13:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  505 |             _bmul(jj, i0, i1, l0, l1, index, v, weights, out_curr, _n_threads);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:481:10:   required from here
  481 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; U = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Derived = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; X2Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:68:32:   required from ‘typename adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   68 |             (c == 0) ? 0 : ddot(v.matrix(), weights.matrix(), _n_threads, _buff)
      |                            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:59:13:   required from here
   59 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; X2Type = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:68:32:   required from ‘typename adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   68 |             (c == 0) ? 0 : ddot(v.matrix(), weights.matrix(), _n_threads, _buff)
      |                            ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:59:13:   required from here
   59 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’
   96 |         x1.segment(begin, size) = x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:107:14:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  107 |         dvveq(out, (out - vw_sum * c) / s, _n_threads);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:93:10:   required from here
   93 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’
   96 |         x1.segment(begin, size) = x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:119:14:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  119 |         dvveq(vs, v / s, _n_threads);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10:   required from here
  110 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1, -1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’
   96 |         x1.segment(begin, size) = x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:119:14:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  119 |         dvveq(vs, v / s, _n_threads);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10:   required from here
  110 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; U = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; Derived = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:122:30:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  122 |         const auto vsc = ddot(
      |                          ~~~~^
  123 |             _centers.segment(j, q).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  124 |             vs.matrix(),
      |             ~~~~~~~~~~~~      
  125 |             _n_threads,
      |             ~~~~~~~~~~~       
  126 |             _buff
      |             ~~~~~             
  127 |         );
      |         ~                     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10:   required from here
  110 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:122:30:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  122 |         const auto vsc = ddot(
      |                          ~~~~^
  123 |             _centers.segment(j, q).matrix(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  124 |             vs.matrix(),
      |             ~~~~~~~~~~~~      
  125 |             _n_threads,
      |             ~~~~~~~~~~~       
  126 |             _buff
      |             ~~~~~             
  127 |         );
      |         ~                     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10:   required from here
  110 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
   96 |         x1.segment(begin, size) = x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:144:14:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  144 |         dvveq(out, (out - vw_sum * _centers) / _scales, _n_threads);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:136:10:   required from here
  136 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:62:   required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >]’
   33 |       Map<Matrix<Scalar,Dynamic,1> >(mat+stride*i+i, size-i) +=
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
   34 |                         (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i)
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                       + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’
   85 |   internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   86 |     (IsRowMajor ? int(UpLo==Upper ? Lower : Upper) : UpLo)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   87 |     ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha);
      |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  179 |             out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1);
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10:   required from here
  157 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:62:   required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >]’
   33 |       Map<Matrix<Scalar,Dynamic,1> >(mat+stride*i+i, size-i) +=
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
   34 |                         (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i)
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                       + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’
   85 |   internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   86 |     (IsRowMajor ? int(UpLo==Upper ? Lower : Upper) : UpLo)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   87 |     ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha);
      |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33:   required from ‘void adelie_core::matrix::MatrixNaiveStandardize<ValueType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  179 |             out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1);
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10:   required from here
  157 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>; SrcXprType = Eigen::PartialReduxExpr<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, member_sum<double, double>, 1>; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>; SrcXprType = Eigen::PartialReduxExpr<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>; Src = Eigen::PartialReduxExpr<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, member_sum<double, double>, 1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>; Src = Eigen::PartialReduxExpr<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>; Src = Eigen::PartialReduxExpr<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, member_sum<double, double>, 1>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Block<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:728:9:   required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry<std::shared_ptr<char> >; VType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; OutType = Eigen::VectorBlock<Eigen::Diagonal<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, -1>; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
  728 |     out = mbuff.rowwise().sum();
      |     ~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:186:50:   required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  186 |                     snp_phased_ancestry_block_dot(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  187 |                         _io, begin0, a_size, sqrt_weights.square(), out_diag, _n_threads, _buff
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  188 |                     );
      |                     ~                             
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:143:10:   required from here
  143 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Derived = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Array<double, 1, -1, 1, 1, -1>; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
   96 |         x1.segment(begin, size) = x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:345:14:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  345 |         dvveq(_vbuff, v * weights, _n_threads);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>; SrcXprType = Eigen::Matrix<double, 1, -1>; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>; SrcXprType = Eigen::Matrix<double, 1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Matrix<double, 1, -1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  851 |   call_assignment_no_alias(dst, tmp, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  233 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix<double, 1, -1>; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix<double, 1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Matrix<double, 1, -1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  851 |   call_assignment_no_alias(dst, tmp, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:333:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
  306 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Dest = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Dest::Scalar = double]’
  346 |     general_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  347 |         <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  348 |         actualLhs.rows(), actualLhs.cols(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  349 |         LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  350 |         RhsMapper(actualRhsPtr, 1),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                 
  351 |         dest.data(), dest.col(0).innerStride(), //NOTE  if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  352 |         actualAlpha);
      |         ~~~~~~~~~~~~                                                                                                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  397 |         Out.noalias() = _mat.transpose() * VW;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10:   required from here
  386 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
  310 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Dest = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Dest::Scalar = double]’
  346 |     general_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  347 |         <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  348 |         actualLhs.rows(), actualLhs.cols(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  349 |         LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  350 |         RhsMapper(actualRhsPtr, 1),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                 
  351 |         dest.data(), dest.col(0).innerStride(), //NOTE  if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  352 |         actualAlpha);
      |         ~~~~~~~~~~~~                                                                                                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  397 |         Out.noalias() = _mat.transpose() * VW;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10:   required from here
  386 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
  314 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Dest = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Dest::Scalar = double]’
  346 |     general_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  347 |         <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  348 |         actualLhs.rows(), actualLhs.cols(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  349 |         LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  350 |         RhsMapper(actualRhsPtr, 1),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                 
  351 |         dest.data(), dest.col(0).innerStride(), //NOTE  if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  352 |         actualAlpha);
      |         ~~~~~~~~~~~~                                                                                                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  397 |         Out.noalias() = _mat.transpose() * VW;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10:   required from here
  386 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  397 |         Out.noalias() = _mat.transpose() * VW;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10:   required from here
  386 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  397 |         Out.noalias() = _mat.transpose() * VW;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10:   required from here
  386 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  397 |         Out.noalias() = _mat.transpose() * VW;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10:   required from here
  386 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  397 |         Out.noalias() = _mat.transpose() * VW;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10:   required from here
  386 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:189:36:   required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >; size_t = long unsigned int]’
  189 |         x1.middleRows(begin, size) = x2.middleRows(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:424:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  424 |             dmmeq(
      |             ~~~~~^
  425 |                 sqrt_WX_array,
      |                 ~~~~~~~~~~~~~~
  426 |                 _mat.middleCols(i_begin, i_q).array().colwise() * sqrt_W.col(l).array(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  427 |                 _n_threads
      |                 ~~~~~~~~~~
  428 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10:   required from here
  400 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:189:36:   required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >; size_t = long unsigned int]’
  189 |         x1.middleRows(begin, size) = x2.middleRows(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:424:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  424 |             dmmeq(
      |             ~~~~~^
  425 |                 sqrt_WX_array,
      |                 ~~~~~~~~~~~~~~
  426 |                 _mat.middleCols(i_begin, i_q).array().colwise() * sqrt_W.col(l).array(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  427 |                 _n_threads
      |                 ~~~~~~~~~~
  428 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10:   required from here
  400 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Derived = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; size_t = long unsigned int]’
   96 |         x1.segment(begin, size) = x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:59:14:   required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   59 |         dvveq(_v, V.col(l), _n_threads);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:46:13:   required from here
   46 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >; SrcXprType = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >; SrcXprType = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; X2Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
   96 |         x1.segment(begin, size) = x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:106:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  106 |             dvveq(Out_curr, _out, _n_threads);
      |             ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Derived = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:82:12:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::VectorBlock<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; size_t = long unsigned int]’
   82 |         x1 = x2;
      |         ~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:127:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  127 |             dvveq(_v, V.col(l-j).segment(i_begin, i_q), _n_threads);
      |             ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:110:10:   required from here
  110 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Derived = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::VectorBlock<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; size_t = long unsigned int]’
   96 |         x1.segment(begin, size) = x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:127:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye<ValueType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  127 |             dvveq(_v, V.col(l-j).segment(i_begin, i_q), _n_threads);
      |             ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:110:10:   required from here
  110 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Derived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:50:20:   required from ‘typename adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   50 |         return ddot(_mat.col(j), (v * weights).matrix(), _n_threads, vbuff);
      |                ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:42:13:   required from here
   42 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:50:20:   required from ‘typename adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   50 |         return ddot(_mat.col(j), (v * weights).matrix(), _n_threads, vbuff);
      |                ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:42:13:   required from here
   42 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:142:29:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  142 |             out(0, 0) = ddot(sqrt_w_mj, sqrt_w_mj, _n_threads, vbuff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10:   required from here
  126 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:142:29:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  142 |             out(0, 0) = ddot(sqrt_w_mj, sqrt_w_mj, _n_threads, vbuff);
      |                         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10:   required from here
  126 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, -1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:189:36:   required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >; size_t = long unsigned int]’
  189 |         x1.middleRows(begin, size) = x2.middleRows(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:149:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  149 |         dmmeq(
      |         ~~~~~^
  150 |             Xj_array,
      |             ~~~~~~~~~
  151 |             _mat.middleCols(j, q).array().colwise() * sqrt_weights.matrix().transpose().array(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  152 |             _n_threads
      |             ~~~~~~~~~~
  153 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10:   required from here
  126 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false>; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, -1, -1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:189:36:   required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate<Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1> >; size_t = long unsigned int]’
  189 |         x1.middleRows(begin, size) = x2.middleRows(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:149:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  149 |         dmmeq(
      |         ~~~~~^
  150 |             Xj_array,
      |             ~~~~~~~~~
  151 |             _mat.middleCols(j, q).array().colwise() * sqrt_weights.matrix().transpose().array(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  152 |             _n_threads
      |             ~~~~~~~~~~
  153 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10:   required from here
  126 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   42 |             cov.noalias() = block.transpose() * _X;
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   42 |             cov.noalias() = block.transpose() * _X;
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   42 |             cov.noalias() = block.transpose() * _X;
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   56 |             cov.middleRows(begin, size).noalias() = (
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   57 |                 block.transpose().middleRows(begin, size) * _X
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   58 |             );
      |             ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   56 |             cov.middleRows(begin, size).noalias() = (
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   57 |                 block.transpose().middleRows(begin, size) * _X
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   58 |             );
      |             ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:13)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:13)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:13)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:13)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:13)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:13)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseNullaryOp<MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase<double, int>::value_t, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:13)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:134:23:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  134 |                 dvaddi(
      |                 ~~~~~~^
  135 |                     out,
      |                     ~~~~
  136 |                     vec_value_t::NullaryExpr(_mat.rows(), [=](auto) {
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  137 |                         return v;
      |                         ~~~~~~~~~
  138 |                     }),
      |                     ~~~
  139 |                     n_threads
      |                     ~~~~~~~~~
  140 |                 );
      |                 ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:296:9:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  296 |         _ctmul(j, v, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:289:10:   required from here
  289 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:145:23:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  145 |                 dvaddi(
      |                 ~~~~~~^
  146 |                     out,
      |                     ~~~~
  147 |                     v * (m_slice == index).template cast<value_t>(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  148 |                     n_threads
      |                     ~~~~~~~~~
  149 |                 );
      |                 ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:296:9:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  296 |         _ctmul(j, v, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:289:10:   required from here
  289 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:14)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:14)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:14)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:14)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:14)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:14)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseNullaryOp<MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:14)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:219:23:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  219 |                 dvaddi(
      |                 ~~~~~~^
  220 |                     out,
      |                     ~~~~
  221 |                     vec_value_t::NullaryExpr(_mat.rows(), [&](auto) {
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  222 |                         return v[0];
      |                         ~~~~~~~~~~~~
  223 |                     }),
      |                     ~~~
  224 |                     n_threads
      |                     ~~~~~~~~~
  225 |                 );
      |                 ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:337:13:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  337 |             _btmul(jj, slice, index, level, size, v_curr, out, _n_threads);
      |             ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:321:10:   required from here
  321 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:15)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:15)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:15)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:15)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:15)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:15)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseNullaryOp<MatrixNaiveOneHotDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:15)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:229:23:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_btmul(int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  229 |                 dvaddi(
      |                 ~~~~~~^
  230 |                     out,
      |                     ~~~~
  231 |                     vec_value_t::NullaryExpr(_mat.rows(), [&](auto i) {
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |                         const int k = _mat(i, slice);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |                         return v[k];
      |                         ~~~~~~~~~~~~
  234 |                     }),
      |                     ~~~
  235 |                     n_threads
      |                     ~~~~~~~~~
  236 |                 );
      |                 ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:337:13:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  337 |             _btmul(jj, slice, index, level, size, v_curr, out, _n_threads);
      |             ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:321:10:   required from here
  321 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:405:33:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  405 |                 out(0, 0) = ddot(sqrt_w_mi, sqrt_w_mi, _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:373:10:   required from here
  373 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:405:33:   required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  405 |                 out(0, 0) = ddot(sqrt_w_mi, sqrt_w_mi, _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:373:10:   required from here
  373 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:224:31:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  224 |                         dvaddi(out, v * _mat.col(i0).transpose().array() * _mat.col(i1).transpose().array(), n_threads);
      |                         ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  478 |         _ctmul(j, v, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10:   required from here
  471 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:241:27:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  241 |                     dvaddi(
      |                     ~~~~~~^
  242 |                         out,
      |                         ~~~~
  243 |                         v * mi1 * (mi0 == k0).template cast<value_t>(),
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  244 |                         n_threads
      |                         ~~~~~~~~~
  245 |                     );
      |                     ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  478 |         _ctmul(j, v, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10:   required from here
  471 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<scalar_boolean_and_op, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<scalar_boolean_and_op, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<scalar_boolean_and_op, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_boolean_and_op, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:271:23:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  271 |                 dvaddi(
      |                 ~~~~~~^
  272 |                     out,
      |                     ~~~~
  273 |                     v * ((mi0 == k0) && (mi1 == k1)).template cast<value_t>(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  274 |                     n_threads
      |                     ~~~~~~~~~
  275 |                 );
      |                 ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::ctmul(int, typename base_t::value_t, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  478 |         _ctmul(j, v, out, _n_threads);
      |         ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10:   required from here
  471 |     void ctmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:373:23:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  373 |                 dvaddi(out, v[0] * mi0 + mi1 * (v[1] + v[2] * mi0), n_threads);
      |                 ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  533 |             _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads);
      |             ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10:   required from here
  510 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:8)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:8)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:8)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:8)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:8)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:8)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseNullaryOp<MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:8)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:377:23:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  377 |                 dvaddi(
      |                 ~~~~~~^
  378 |                     out,
      |                     ~~~~
  379 |                     vec_value_t::NullaryExpr(_mat.rows(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  380 |                         [&](auto i) {
      |                         ~~~~~~~~~~~~~
  381 |                             const int k0 = _mat(i, i0);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  382 |                             return v[k0] + v[l0 + k0] * _mat(i, i1);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  383 |                         }
      |                         ~
  384 |                     ),
      |                     ~~ 
  385 |                     n_threads
      |                     ~~~~~~~~~
  386 |                 );
      |                 ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  533 |             _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads);
      |             ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10:   required from here
  510 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:9)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:9)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:9)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:9)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:9)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:9)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseNullaryOp<MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:9)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:390:23:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  390 |                 dvaddi(
      |                 ~~~~~~^
  391 |                     out,
      |                     ~~~~
  392 |                     vec_value_t::NullaryExpr(_mat.rows(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  393 |                         [&](auto i) {
      |                         ~~~~~~~~~~~~~
  394 |                             const int k1 = _mat(i, i1);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  395 |                             const auto b = _n_levels_cont * k1;
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  396 |                             return v[b] + v[b+1] * _mat(i, i0);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  397 |                         }
      |                         ~
  398 |                     ),
      |                     ~~ 
  399 |                     n_threads
      |                     ~~~~~~~~~
  400 |                 );
      |                 ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  533 |             _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads);
      |             ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10:   required from here
  510 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:10)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:10)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:10)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:10)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:10)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseNullaryOp<adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:10)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  194 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33:   required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; X2Type = Eigen::CwiseNullaryOp<MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, size_t)::<lambda(auto:10)>, Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   36 |         x1.segment(begin, size) += x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:404:23:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  404 |                 dvaddi(
      |                 ~~~~~~^
  405 |                     out,
      |                     ~~~~
  406 |                     vec_value_t::NullaryExpr(_mat.rows(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  407 |                         [&](auto i) {
      |                         ~~~~~~~~~~~~~
  408 |                             const int k0 = _mat(i, i0);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  409 |                             const int k1 = _mat(i, i1);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  410 |                             return v[k1 * l0 + k0];
      |                             ~~~~~~~~~~~~~~~~~~~~~~~
  411 |                         }
      |                         ~
  412 |                     ),
      |                     ~~ 
  413 |                     n_threads
      |                     ~~~~~~~~~
  414 |                 );
      |                 ~      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  533 |             _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads);
      |             ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10:   required from here
  510 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >; SrcXprType = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >; SrcXprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>; Src = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>; Src = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>; Src = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Derived = Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; X2Type = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
   96 |         x1.segment(begin, size) = x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:614:22:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  614 |                 dvveq(w, sqrt_w.square(), _n_threads);
      |                 ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >; SrcXprType = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >; SrcXprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>; Src = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>; Src = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>; Src = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Derived = Eigen::Block<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >; X2Type = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
   96 |         x1.segment(begin, size) = x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:614:22:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  614 |                 dvveq(w, sqrt_w.square(), _n_threads);
      |                 ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  615 |                 out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  615 |                 out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:616:33:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  616 |                 out(1, 0) = ddot(w.matrix(), (mi0 * mi1).matrix(), _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:616:33:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  616 |                 out(1, 0) = ddot(w.matrix(), (mi0 * mi1).matrix(), _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:618:33:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  618 |                 out(2, 0) = ddot(w.matrix(), (mi0.square() * mi1).matrix(), _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:618:33:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  618 |                 out(2, 0) = ddot(w.matrix(), (mi0.square() * mi1).matrix(), _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Derived = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:620:33:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  620 |                 out(2, 2) = ddot(w.matrix(), (mi0 * mi1).square().matrix(), _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:620:33:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cov(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  620 |                 out(2, 2) = ddot(w.matrix(), (mi0 * mi1).square().matrix(), _n_threads, _buff);
      |                             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10:   required from here
  576 |     void cov(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >’
  292 | struct evaluator<Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseUtil.h:121:8:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>’
  121 | struct plain_object_eval<T,Sparse>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:50:59:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::addTo(Dest&, const ActualLhs&, const Rhs&, typename Eigen::internal::enable_if<Eigen::internal::is_same<typename Eigen::internal::evaluator_traits<OtherDerived>::Shape, Eigen::DenseShape>::value, int*>::type*) [with Dest = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; ActualLhs = Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >; int ProductType = 8; typename Eigen::internal::enable_if<Eigen::internal::is_same<typename Eigen::internal::evaluator_traits<OtherDerived>::Shape, Eigen::DenseShape>::value, int*>::type = int*; typename Eigen::internal::evaluator_traits<OtherDerived>::Shape = Eigen::DenseShape]’
   50 |     typedef typename nested_eval<ActualLhs,Dynamic>::type LhsNested;
      |                                                           ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:84:10:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SparseShape, Eigen::SparseShape, ProductType>::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::DenseShape) [with Dest = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; Lhs = Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >; int ProductType = 8]’
   84 |     addTo(dst, lhs, rhs);
      |     ~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; Src = Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::SparseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; Src = Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >, 2>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:75:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >, 2>; Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]’
   75 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:234:19:   required from ‘adelie_core::matrix::MatrixNaiveSparse<Eigen::SparseMatrix<double, 0, int>, int>::sp_btmul(const adelie_core::matrix::MatrixNaiveBase<double, int>::sp_mat_value_t&, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >)::<lambda(auto:22)> [with auto:22 = int]’
  234 |             out_k = vk * _mat.transpose();
      |             ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:237:60:   required from ‘void adelie_core::matrix::MatrixNaiveSparse<SparseType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) [with SparseType = Eigen::SparseMatrix<double, 0, int>; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  237 |             for (int k = 0; k < v.outerSize(); ++k) routine(k);
      |                                                     ~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:212:10:   required from here
  212 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  397 |         Out.noalias() = _mat.transpose() * VW;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10:   required from here
  386 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  397 |         Out.noalias() = _mat.transpose() * VW;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10:   required from here
  386 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  397 |         Out.noalias() = _mat.transpose() * VW;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10:   required from here
  386 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  397 |         Out.noalias() = _mat.transpose() * VW;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10:   required from here
  386 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >; typename Dest::Scalar = double]’
  296 |           dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
      |                            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  397 |         Out.noalias() = _mat.transpose() * VW;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10:   required from here
  386 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Rhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:235:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  235 |                 out.segment(begin, size) += v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   42 |             cov.noalias() = block.transpose() * _X;
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   42 |             cov.noalias() = block.transpose() * _X;
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   42 |             cov.noalias() = block.transpose() * _X;
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:907:22:   required from ‘void Eigen::internal::call_restricted_packet_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>; Func = assign_op<double, double>]’
  907 |     DstEvaluatorType dstEvaluator(dst);
      |                      ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:47:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::false_type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; LhsT = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; RhsT = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op<double, double>; Scalar = double; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  462 |     call_restricted_packet_assignment_no_alias(dst, lhs.lazyProduct(rhs), func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Lhs&, const Rhs&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Func = Eigen::internal::assign_op<double, double>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  446 |     eval_dynamic_impl(dst,
      |     ~~~~~~~~~~~~~~~~~^~~~~
  447 |                       blas_traits<Lhs>::extract(lhs).template conjugateIf<ConjLhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |                       blas_traits<Rhs>::extract(rhs).template conjugateIf<ConjRhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |                       func,
      |                       ~~~~~
  450 |                       actualAlpha,
      |                       ~~~~~~~~~~~~
  451 |                       typename conditional<HasScalarFactor,true_type,false_type>::type());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   56 |             cov.middleRows(begin, size).noalias() = (
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   57 |                 block.transpose().middleRows(begin, size) * _X
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   58 |             );
      |             ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, -1, 1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, -1, 1, false>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, -1, 1, false>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, -1, 1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, -1, 1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, -1, 1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   56 |             cov.middleRows(begin, size).noalias() = (
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   57 |                 block.transpose().middleRows(begin, size) * _X
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   58 |             );
      |             ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   56 |             cov.middleRows(begin, size).noalias() = (
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   57 |                 block.transpose().middleRows(begin, size) * _X
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   58 |             );
      |             ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   56 |             cov.middleRows(begin, size).noalias() = (
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   57 |                 block.transpose().middleRows(begin, size) * _X
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   58 |             );
      |             ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:97:28:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
   97 |                 return ddot((v * w).matrix(), _mat.col(slice), n_threads, _buff);
      |                        ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  286 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13:   required from here
  279 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:97:28:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
   97 |                 return ddot((v * w).matrix(), _mat.col(slice), n_threads, _buff);
      |                        ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16:   required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  286 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13:   required from here
  279 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; U = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:123:36:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  123 |                         return ddot((v * w).matrix(), _mat.col(i0).transpose(), n_threads, _buff);
      |                                ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  468 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13:   required from here
  461 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:123:36:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  123 |                         return ddot((v * w).matrix(), _mat.col(i0).transpose(), n_threads, _buff);
      |                                ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  468 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13:   required from here
  461 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; U = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:131:36:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  131 |                         return ddot((v * w).matrix(), _mat.col(i0).cwiseProduct(_mat.col(i1)).transpose(), n_threads, _buff);
      |                                ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  468 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13:   required from here
  461 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; X2Type = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:131:36:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  131 |                         return ddot((v * w).matrix(), _mat.col(i0).cwiseProduct(_mat.col(i1)).transpose(), n_threads, _buff);
      |                                ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16:   required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::cmul(int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  468 |         return _cmul(j, v, weights, _n_threads);
      |                ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13:   required from here
  461 |     value_t cmul(
      |             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; U = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’
  143 |         return x1.dot(x2);
      |                ~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:310:30:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_bmul(int, int, int, int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  310 |                 out[2] = ddot(_mat.col(i0).cwiseProduct(_mat.col(i1)), (v * w).matrix(), n_threads, _buff);
      |                          ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:505:13:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  505 |             _bmul(jj, i0, i1, l0, l1, index, v, weights, out_curr, _n_threads);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:481:10:   required from here
  481 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 1, -1, false>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46:   required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’
  157 |         buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:310:30:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::_bmul(int, int, int, int, int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>, size_t) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’
  310 |                 out[2] = ddot(_mat.col(i0).cwiseProduct(_mat.col(i1)), (v * w).matrix(), n_threads, _buff);
      |                          ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:505:13:   required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  505 |             _bmul(jj, i0, i1, l0, l1, index, v, weights, out_curr, _n_threads);
      |             ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:481:10:   required from here
  481 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; Src = Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::SparseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>; Src = Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >, 2>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:75:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >, 2>; Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]’
   75 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:234:19:   required from ‘adelie_core::matrix::MatrixNaiveSparse<Eigen::SparseMatrix<double, 0, int>, int>::sp_btmul(const adelie_core::matrix::MatrixNaiveBase<double, int>::sp_mat_value_t&, Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >)::<lambda(auto:22)> [with auto:22 = int]’
  234 |             out_k = vk * _mat.transpose();
      |             ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:237:60:   required from ‘void adelie_core::matrix::MatrixNaiveSparse<SparseType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) [with SparseType = Eigen::SparseMatrix<double, 0, int>; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  237 |             for (int k = 0; k < v.outerSize(); ++k) routine(k);
      |                                                     ~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:212:10:   required from here
  212 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  211 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Rhs = Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  233 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; Rhs = Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::SparseShape, Eigen::DenseShape, 8>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:500:32:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  500 |                 _out.noalias() = _v * _mat.transpose();
      |                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10:   required from here
  449 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:35:   required from ‘static void Eigen::internal::sparse_time_dense_product_impl<SparseLhsType, DenseRhsType, DenseResType, typename DenseResType::Scalar, 1, false>::processRow(const LhsEval&, const DenseRhsType&, Res&, const typename Eigen::internal::remove_all<Arg2Type>::type::Scalar&, Eigen::Index) [with SparseLhsType = Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >; DenseRhsType = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; DenseResType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; LhsEval = Eigen::internal::evaluator<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >; Res = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename Eigen::internal::remove_all<Arg2Type>::type::Scalar = double; Eigen::Index = long int]’
  145 |       res_i += (alpha*it.value()) * rhs.row(it.index());
      |                ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:131:19:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::internal::generic_product_impl<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::SparseShape, Eigen::DenseShape, 8>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:500:32:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  500 |                 _out.noalias() = _v * _mat.transpose();
      |                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10:   required from here
  449 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; Rhs = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  233 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Rhs = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Rhs = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, 1, -1>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Matrix<double, 1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 2, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 2, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 2, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 2, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 2, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 2, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, member_sum<double, double>, 0>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, member_sum<double, double>, 0>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  258 |             out += buff.block(0, 0, n_blocks, p).colwise().sum();
      |             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 2, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 2, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20:   required from ‘PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Eigen::Index = long int]’
  217 |     PanelEvaluator panel_eval(panel);
      |                    ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0> >; Functor = Eigen::internal::add_assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
  681 |     m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(index), m_src.template packet<LoadMode,PacketType>(index));
      |                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 3, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::internal::evaluator<Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0> >, Eigen::internal::add_assign_op<double, double>, 0>]’
  437 |       kernel.template assignPacket<dstAlignment, srcAlignment, PacketType>(index);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, member_sum<double, double>, 0>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, member_sum<double, double>, 0>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  258 |             out += buff.block(0, 0, n_blocks, p).colwise().sum();
      |             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   42 |             cov.noalias() = block.transpose() * _X;
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   42 |             cov.noalias() = block.transpose() * _X;
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   42 |             cov.noalias() = block.transpose() * _X;
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   42 |             cov.noalias() = block.transpose() * _X;
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   56 |             cov.middleRows(begin, size).noalias() = (
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   57 |                 block.transpose().middleRows(begin, size) * _X
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   58 |             );
      |             ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   56 |             cov.middleRows(begin, size).noalias() = (
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   57 |                 block.transpose().middleRows(begin, size) * _X
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   58 |             );
      |             ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   56 |             cov.middleRows(begin, size).noalias() = (
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   57 |                 block.transpose().middleRows(begin, size) * _X
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   58 |             );
      |             ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>, 1, -1, true> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   56 |             cov.middleRows(begin, size).noalias() = (
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   57 |                 block.transpose().middleRows(begin, size) * _X
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   58 |             );
      |             ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; Src = Eigen::PartialReduxExpr<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; Src = Eigen::PartialReduxExpr<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, member_sum<double, double>, 1>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:728:9:   required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry<std::shared_ptr<char> >; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; OutType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
  728 |     out = mbuff.rowwise().sum();
      |     ~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:108:38:   required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  108 |         snp_phased_ancestry_block_dot(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  109 |             _io, j, q, v * weights, out, _n_threads, _buff
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |         );
      |         ~                             
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:99:10:   required from here
   99 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  397 |         Out.noalias() = _mat.transpose() * VW;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10:   required from here
  386 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  397 |         Out.noalias() = _mat.transpose() * VW;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10:   required from here
  386 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:278:57:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  397 |         Out.noalias() = _mat.transpose() * VW;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10:   required from here
  386 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
  115 |       pack_lhs(blockA+info[tid].lhs_start*actual_kc, lhs.getSubMapper(info[tid].lhs_start,k), actual_kc, info[tid].lhs_length);
      |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10:   required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 1, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<RhsScalar, LhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’
   40 |     general_matrix_matrix_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   41 |       RhsScalar, RhsStorageOrder==RowMajor ? ColMajor : RowMajor, ConjugateRhs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |       LhsScalar, LhsStorageOrder==RowMajor ? ColMajor : RowMajor, ConjugateLhs,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |       ColMajor,ResInnerStride>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~
   44 |     ::run(cols,rows,depth,rhs,rhsStride,lhs,lhsStride,res,resIncr,resStride,alpha,blocking,info);
      |     ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, double, 1, false, double, 1, false, 1, 1>; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16:   required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long int, general_matrix_matrix_product<long int, double, 1, false, double, 1, false, 1, 1>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’
  141 |     return func(0,rows, 0,cols);
      |            ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
  508 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  397 |         Out.noalias() = _mat.transpose() * VW;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10:   required from here
  386 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, member_sum<double, double>, 0>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, member_sum<double, double>, 0>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  258 |             out += buff.block(0, 0, n_blocks, p).colwise().sum();
      |             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  397 |         Out.noalias() = _mat.transpose() * VW;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10:   required from here
  386 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  213 |             out += v * m;
      |             ~~~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  213 |             out += v * m;
      |             ~~~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:235:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  235 |                 out.segment(begin, size) += v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   42 |             cov.noalias() = block.transpose() * _X;
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   42 |             cov.noalias() = block.transpose() * _X;
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   56 |             cov.middleRows(begin, size).noalias() = (
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   57 |                 block.transpose().middleRows(begin, size) * _X
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   58 |             );
      |             ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  211 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  211 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  233 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  211 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  211 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  233 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  213 |             out += v * m;
      |             ~~~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  213 |             out += v * m;
      |             ~~~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:235:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  235 |                 out.segment(begin, size) += v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  107 |         dgemv(
      |         ~~~~~^
  108 |             _mat,
      |             ~~~~~
  109 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
  110 |             _n_threads,
      |             ~~~~~~~~~~~
  111 |             _buff,
      |             ~~~~~~
  112 |             outm
      |             ~~~~
  113 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10:   required from here
   99 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   42 |             cov.noalias() = block.transpose() * _X;
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   56 |             cov.middleRows(begin, size).noalias() = (
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   57 |                 block.transpose().middleRows(begin, size) * _X
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   58 |             );
      |             ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; Src = Eigen::PartialReduxExpr<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; Src = Eigen::PartialReduxExpr<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, member_sum<double, double>, 1>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:728:9:   required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry<std::shared_ptr<char> >; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; OutType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
  728 |     out = mbuff.rowwise().sum();
      |     ~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:108:38:   required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  108 |         snp_phased_ancestry_block_dot(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  109 |             _io, j, q, v * weights, out, _n_threads, _buff
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |         );
      |         ~                             
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:99:10:   required from here
   99 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  211 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  211 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  233 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  397 |         Out.noalias() = _mat.transpose() * VW;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10:   required from here
  386 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  211 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  233 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  213 |             out += v * m;
      |             ~~~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  213 |             out += v * m;
      |             ~~~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:235:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  235 |                 out.segment(begin, size) += v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 1, false> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, -1, 1, false>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, member_sum<double, double>, 0>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, member_sum<double, double>, 0>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  258 |             out += buff.block(0, 0, n_blocks, p).colwise().sum();
      |             ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  107 |         dgemv(
      |         ~~~~~^
  108 |             _mat,
      |             ~~~~~
  109 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
  110 |             _n_threads,
      |             ~~~~~~~~~~~
  111 |             _buff,
      |             ~~~~~~
  112 |             outm
      |             ~~~~
  113 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10:   required from here
   99 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   42 |             cov.noalias() = block.transpose() * _X;
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   42 |             cov.noalias() = block.transpose() * _X;
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   56 |             cov.middleRows(begin, size).noalias() = (
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   57 |                 block.transpose().middleRows(begin, size) * _X
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   58 |             );
      |             ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   56 |             cov.middleRows(begin, size).noalias() = (
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   57 |                 block.transpose().middleRows(begin, size) * _X
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   58 |             );
      |             ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  211 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  211 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  233 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; Src = Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; Src = Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:519:23:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  519 |                 out_k = vk * _mat.transpose();
      |                 ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10:   required from here
  449 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  211 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  211 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  211 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  233 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  211 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  107 |         dgemv(
      |         ~~~~~^
  108 |             _mat,
      |             ~~~~~
  109 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
  110 |             _n_threads,
      |             ~~~~~~~~~~~
  111 |             _buff,
      |             ~~~~~~
  112 |             outm
      |             ~~~~
  113 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10:   required from here
   99 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  107 |         dgemv(
      |         ~~~~~^
  108 |             _mat,
      |             ~~~~~
  109 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
  110 |             _n_threads,
      |             ~~~~~~~~~~~
  111 |             _buff,
      |             ~~~~~~
  112 |             outm
      |             ~~~~
  113 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10:   required from here
   99 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; Src = Eigen::PartialReduxExpr<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, member_sum<double, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; Src = Eigen::PartialReduxExpr<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, member_sum<double, double>, 1>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:728:9:   required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry<std::shared_ptr<char> >; VType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; OutType = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
  728 |     out = mbuff.rowwise().sum();
      |     ~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:108:38:   required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry<ValueType, MmapPtrType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr<char>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<ValueType, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  108 |         snp_phased_ancestry_block_dot(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  109 |             _io, j, q, v * weights, out, _n_threads, _buff
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |         );
      |         ~                             
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:99:10:   required from here
   99 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  213 |             out += v * m;
      |             ~~~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  213 |             out += v * m;
      |             ~~~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:235:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  235 |                 out.segment(begin, size) += v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  211 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  211 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  233 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Block<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  353 |             dgemv(
      |             ~~~~~^
  354 |                 VW.middleCols(l, size),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  355 |                 _mat.col(i).transpose(),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~
  356 |                 _n_threads,
      |                 ~~~~~~~~~~~
  357 |                 _buff,
      |                 ~~~~~~
  358 |                 _out
      |                 ~~~~
  359 |             );
      |             ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10:   required from here
  337 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  211 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  211 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  233 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>, Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper<const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1> > >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::btmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   90 |         dgemv<util::operator_type::_add>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   91 |             _mat.middleCols(j, q).transpose(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   92 |             v.matrix(),
      |             ~~~~~~~~~~~                  
   93 |             _n_threads,
      |             ~~~~~~~~~~~                  
   94 |             _buff,
      |             ~~~~~~                       
   95 |             outm
      |             ~~~~                         
   96 |         );
      |         ~                                
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10:   required from here
   82 |     void btmul(
      |          ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  107 |         dgemv(
      |         ~~~~~^
  108 |             _mat,
      |             ~~~~~
  109 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
  110 |             _n_threads,
      |             ~~~~~~~~~~~
  111 |             _buff,
      |             ~~~~~~
  112 |             outm
      |             ~~~~
  113 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10:   required from here
   99 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1, 1, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long int]’
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   42 |             cov.noalias() = block.transpose() * _X;
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long int]’
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Lhs = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; Src = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, true>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::cache(int, int) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int]’
   56 |             cov.middleRows(begin, size).noalias() = (
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
   57 |                 block.transpose().middleRows(begin, size) * _X
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   58 |             );
      |             ~                                      
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17:   required from ‘void adelie_core::matrix::MatrixCovLazyCov<DenseType, IndexType>::bmul(const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixCovBase<typename std::decay<_Tp>::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   96 |                 cache(i, cache_size);
      |                 ^~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10:   required from here
   81 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  211 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Block<Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  233 |                 out.segment(begin, size) = v * m.middleCols(begin, size);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::bmul(int, int, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
   73 |         dgemv(
      |         ~~~~~^
   74 |             _mat.middleCols(j, q),
      |             ~~~~~~~~~~~~~~~~~~~~~~
   75 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
   76 |             _n_threads,
      |             ~~~~~~~~~~~
   77 |             _buff,
      |             ~~~~~~
   78 |             outm
      |             ~~~~
   79 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10:   required from here
   63 |     void bmul(
      |          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; Src = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  211 |             out = v * m;
      |             ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  107 |         dgemv(
      |         ~~~~~^
  108 |             _mat,
      |             ~~~~~
  109 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
  110 |             _n_threads,
      |             ~~~~~~~~~~~
  111 |             _buff,
      |             ~~~~~~
  112 |             outm
      |             ~~~~
  113 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10:   required from here
   99 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33:   required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper<Eigen::Array<double, 1, -1, 1, 1, -1> >; BuffType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; OutType = Eigen::MatrixWrapper<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1> > >; size_t = long unsigned int]’
  251 |             buff.row(t).head(p) = (
      |             ~~~~~~~~~~~~~~~~~~~~^~~
  252 |                 v.segment(begin, size) * m.middleRows(begin, size)
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  253 |             );
      |             ~                    
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14:   required from ‘void adelie_core::matrix::MatrixNaiveDense<DenseType, IndexType>::mul(const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<const typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  107 |         dgemv(
      |         ~~~~~^
  108 |             _mat,
      |             ~~~~~
  109 |             _vbuff.matrix(),
      |             ~~~~~~~~~~~~~~~~
  110 |             _n_threads,
      |             ~~~~~~~~~~~
  111 |             _buff,
      |             ~~~~~~
  112 |             outm
      |             ~~~~
  113 |         );
      |         ~     
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10:   required from here
   99 |     void mul(
      |          ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Functor = add_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:13:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; Src = Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; Src = Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:519:23:   required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense<DenseType, IndexType>::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t>) [with DenseType = Eigen::Matrix<double, -1, -1>; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix<double, 1>; base_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t = Eigen::Matrix<double, -1, -1, 1, -1, -1>; typename DenseType::Scalar = double; typename Eigen::internal::conditional<typename adelie_core::matrix::MatrixNaiveBase<typename DenseType::Scalar, IndexType>::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
  519 |                 out_k = vk * _mat.transpose();
      |                 ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10:   required from here
  449 |     void sp_btmul(
      |          ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS  -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -fopenmp -fpic  -g -O2 -Wall -pedantic -mtune=native  -DR_NO_REMAP -c rcpp_matrix_utils_blas.cpp -o rcpp_matrix_utils_blas.o
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:28,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                 from decl.h:3,
                 from rcpp_matrix_utils_blas.cpp:8:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
rcpp_matrix_utils_blas.cpp:20:1:   required from here
   20 | )
      | ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
rcpp_matrix_utils_blas.cpp:20:1:   required from here
   20 | )
      | ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_matrix_utils_blas.cpp:22:23:   required from here
   22 |     const auto p = mat.cols();
      |                       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:820:76:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  820 |         out.template selfadjointView<Eigen::Lower>().rankUpdate(m.transpose());
      |                                                                 ~~~~~~~~~~~^~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:821:68:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  821 |         out.template triangularView<Eigen::Upper>() = out.transpose();
      |                                                       ~~~~~~~~~~~~~^~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:35:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  826 |     out.noalias() = m.transpose() * m;
      |                     ~~~~~~~~~~~~~~^~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:819:20:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  819 |         out.setZero();
      |         ~~~~~~~~~~~^~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:330:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
   72 |     typedef blas_data_mapper<typename Traits::ResScalar, Index, ColMajor, Unaligned, ResInnerStride> ResMapper;
      |                                                                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:820:64:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  820 |         out.template selfadjointView<Eigen::Lower>().rankUpdate(m.transpose());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
   92 |     gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:820:64:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  820 |         out.template selfadjointView<Eigen::Lower>().rankUpdate(m.transpose());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
   92 |     gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                             ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:820:64:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  820 |         out.template selfadjointView<Eigen::Lower>().rankUpdate(m.transpose());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
  100 |       pack_rhs(blockB, rhs.getSubMapper(k2,0), actual_kc, size);
      |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:820:64:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  820 |         out.template selfadjointView<Eigen::Lower>().rankUpdate(m.transpose());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
  106 |         pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:820:64:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  820 |         out.template selfadjointView<Eigen::Lower>().rankUpdate(m.transpose());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
  113 |           gebp(res.getSubMapper(i2, 0), blockA, blockB, actual_mc, actual_kc,
      |           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  114 |                (std::min)(size,i2), alpha, -1, -1, 0, 0);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:820:64:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  820 |         out.template selfadjointView<Eigen::Lower>().rankUpdate(m.transpose());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 16>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 4>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’
  155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
      |                                                    ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:820:64:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  820 |         out.template selfadjointView<Eigen::Lower>().rankUpdate(m.transpose());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’
  155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
      |                                                    ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:820:64:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  820 |         out.template selfadjointView<Eigen::Lower>().rankUpdate(m.transpose());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  826 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  826 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  826 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  826 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  826 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  826 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  826 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Map<Eigen::Matrix<double, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Scalar = double]’
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  826 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23:   required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’
  171 |         buffer.setZero();
      |         ~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix<double, -1, -1>; OtherType = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; int UpLo = 1; typename MatrixType::Scalar = double]’
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:820:64:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  820 |         out.template selfadjointView<Eigen::Lower>().rankUpdate(m.transpose());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  826 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  826 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  826 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  826 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  826 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:333:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
  306 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]’
  346 |     general_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  347 |         <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  348 |         actualLhs.rows(), actualLhs.cols(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  349 |         LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  350 |         RhsMapper(actualRhsPtr, 1),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                 
  351 |         dest.data(), dest.col(0).innerStride(), //NOTE  if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  352 |         actualAlpha);
      |         ~~~~~~~~~~~~                                                                                                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  826 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
  310 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]’
  346 |     general_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  347 |         <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  348 |         actualLhs.rows(), actualLhs.cols(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  349 |         LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  350 |         RhsMapper(actualRhsPtr, 1),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                 
  351 |         dest.data(), dest.col(0).innerStride(), //NOTE  if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  352 |         actualAlpha);
      |         ~~~~~~~~~~~~                                                                                                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  826 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>’
  314 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]’
  346 |     general_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  347 |         <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  348 |         actualLhs.rows(), actualLhs.cols(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  349 |         LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  350 |         RhsMapper(actualRhsPtr, 1),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                 
  351 |         dest.data(), dest.col(0).innerStride(), //NOTE  if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  352 |         actualAlpha);
      |         ~~~~~~~~~~~~                                                                                                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Scalar = double]’
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  826 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  826 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  826 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  826 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  826 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  826 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  826 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  826 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  826 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  826 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  826 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  826 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  826 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long int]’
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long int]’
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >]’
  441 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1> > >, Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, -1>; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19:   required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; OutType = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  826 |     out.noalias() = m.transpose() * m;
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_matrix_utils_blas.cpp:24:23:   required from here
   24 |     ad::matrix::dgemtm(mat, out, n_threads);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS  -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -fopenmp -fpic  -g -O2 -Wall -pedantic -mtune=native  -DR_NO_REMAP -c rcpp_solver.cpp -o rcpp_solver.o
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:28,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                 from decl.h:3,
                 from rcpp_solver.cpp:1:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29:   required from ‘struct Eigen::internal::traits<const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   23 | template<typename T> struct traits<const T> : traits<T> {};
      |                             ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from ‘struct Eigen::internal::traits<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >’
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:22:22:   required from ‘class adelie_core::glm::GlmBase<double>’
   22 |     map_cvec_value_t y;
      |                      ^
rcpp_glm.h:164:39:   required from here
  164 |     bool is_multi() const { return ptr->is_multi; }
      |                                       ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 1, -1, 1, 1, -1>’
   45 | class Array
      |       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from ‘struct Eigen::internal::traits<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   24 |                              ? PlainObjectType::ColsAtCompileTime
      |                                                 ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >’
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:22:22:   required from ‘class adelie_core::glm::GlmBase<double>’
   22 |     map_cvec_value_t y;
      |                      ^
rcpp_glm.h:164:39:   required from here
  164 |     bool is_multi() const { return ptr->is_multi; }
      |                                       ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:22:22:   required from ‘class adelie_core::glm::GlmBase<double>’
   22 |     map_cvec_value_t y;
      |                      ^
rcpp_glm.h:164:39:   required from here
  164 |     bool is_multi() const { return ptr->is_multi; }
      |                                       ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
rcpp_glm.h:166:27:   required from here
  166 |     vec_value_t y() const { return ptr->y; }
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_glm.h:173:29:   required from here
  173 |         vec_value_t grad(eta.size());
      |                             ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:329:77:   required from ‘class Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >’
  329 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
      |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_glm.h:174:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from ‘class Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >’
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
rcpp_glm.h:174:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1, 1, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1, 1, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1, 1, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, -1, 1, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, -1, 1, -1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1, 1, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, -1, 1, -1, -1>’
   45 | class Array
      |       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from ‘struct Eigen::internal::traits<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   24 |                              ? PlainObjectType::ColsAtCompileTime
      |                                                 ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >’
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:23:22:   required from ‘class adelie_core::glm::GlmMultiBase<double>’
   23 |     map_carr_value_t y;
      |                      ^
rcpp_glm.h:203:39:   required from here
  203 |     bool is_multi() const { return ptr->is_multi; }
      |                                       ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:23:22:   required from ‘class adelie_core::glm::GlmMultiBase<double>’
   23 |     map_carr_value_t y;
      |                      ^
rcpp_glm.h:203:39:   required from here
  203 |     bool is_multi() const { return ptr->is_multi; }
      |                                       ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, -1>’
   45 | class Array
      |       ^~~~~
rcpp_glm.h:205:30:   required from here
  205 |     colarr_value_t y() const { return ptr->y; }
      |                              ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Array<double, -1, -1> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_glm.h:212:34:   required from here
  212 |         colarr_value_t gradT(etaT.rows(), etaT.cols());
      |                                  ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_glm.h:214:41:   required from here
  214 |         Eigen::Map<rowarr_value_t> grad(gradT.data(), gradT.cols(), gradT.rows());
      |                                         ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:329:77:   required from ‘class Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
  329 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
      |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_glm.h:215:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from ‘class Eigen::Ref<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
rcpp_glm.h:215:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_base.hpp:96:18:   required from ‘class adelie_core::matrix::MatrixCovBase<double, int>’
   96 |     virtual void to_dense(
      |                  ^~~~~~~~
rcpp_matrix.h:244:34:   required from here
  244 |     int cols() const { return ptr->cols(); }
      |                                  ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1, 1, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:186:18:   required from ‘class adelie_core::matrix::MatrixNaiveBase<double, int>’
  186 |     virtual void sp_btmul(
      |                  ^~~~~~~~
rcpp_matrix.h:269:34:   required from here
  269 |     int rows() const { return ptr->rows(); }
      |                                  ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
rcpp_matrix.h:289:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 1>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
rcpp_matrix.h:297:35:   required from here
  297 |         dense_64F_t outT(rows(), v.rows());
      |                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_matrix.h:299:40:   required from here
  299 |         Eigen::Map<rowmat_value_t> out(outT.data(), outT.cols(), outT.rows());
      |                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
rcpp_matrix.h:300:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:26:37:   required from ‘class adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>’
   26 |     const Eigen::Map<const dense_t> _mat;   // (n, d) underlying matrix
      |                                     ^~~~
rcpp_matrix.h:314:1:   required from here
  315 |     auto groups() const { return dynamic_cast<matrix_naive_interaction_dense_64F_t&>(*ptr).groups(); }
      |                                                                                          ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
  977 | struct evaluator<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71:   required from ‘struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
 1018 |     Flags = evaluator<Map<PlainObjectType, RefOptions, StrideType> >::Flags,
      |                                                                       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >]’
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:344:23:   required from ‘std::tuple<long unsigned int, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double> > > > adelie_core::io::IOSNPUnphased<MmapPtrType>::write(const Eigen::Ref<const Eigen::Array<signed char, -1, -1, 0, -1, -1> >&, const std::string&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, size_t) const [with MmapPtrType = std::shared_ptr<char>; std::string = std::__cxx11::basic_string<char>; size_t = long unsigned int]’
  344 |         compute_impute(calldata, impute_method, impute, n_threads);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_io.h:32:41:   required from here
   32 |         return std::get<0>(base_t::write(calldata8, impute_method, impute, n_threads));
      |                            ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:3,
                 from rcpp_io.h:3,
                 from rcpp_matrix.h:4,
                 from rcpp_solver.cpp:3:
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp: In instantiation of ‘std::tuple<long unsigned int, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double> > > > adelie_core::io::IOSNPUnphased<MmapPtrType>::write(const Eigen::Ref<const Eigen::Array<signed char, -1, -1, 0, -1, -1> >&, const std::string&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, size_t) const [with MmapPtrType = std::shared_ptr<char>; std::string = std::__cxx11::basic_string<char>; size_t = long unsigned int]’:
rcpp_io.h:32:41:   required from here
   32 |         return std::get<0>(base_t::write(calldata8, impute_method, impute, n_threads));
      |                            ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:91:43: note:   initializing argument 3 of ‘void adelie_core::io::compute_impute(const Eigen::Ref<const Eigen::Array<signed char, -1, -1, 0, -1, -1> >&, adelie_core::util::impute_method_type, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, size_t)’
   91 |     Eigen::Ref<util::rowvec_type<double>> impute,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseVector<double, 1, int> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseVector<double, 1, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:64:7:   required from ‘class Eigen::SparseVector<double, 1, int>’
   64 | class SparseVector
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multigaussian_naive.hpp:37:52:   required from ‘void adelie_core::solver::multigaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::<lambda()>]’
   37 |                 Eigen::Map<const vec_value_t>(beta.valuePtr(), n_classes)
      |                                               ~~~~~^~~~~~~~
rcpp_solver.cpp:143:48:   required from here
  143 |         ad::solver::multigaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  144 |             static_cast<state_multigaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  145 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~          
  146 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~                
  147 |         );
      |         ~                                       
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseVector<double, 1, int>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7:   required from ‘class Eigen::BlockImpl<Eigen::SparseVector<double, 1, int>, 1, -1, false, Eigen::Sparse>’
  333 | class BlockImpl<XprType,BlockRows,BlockCols,InnerPanel,Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::SparseVector<double, 1, int>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::SparseVector<double, 1, int>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multigaussian_naive.hpp:39:29:   required from ‘void adelie_core::solver::multigaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::<lambda()>]’
   39 |             beta = beta.tail(beta.size() - n_classes);
      |                    ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_solver.cpp:143:48:   required from here
  143 |         ad::solver::multigaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  144 |             static_cast<state_multigaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  145 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~          
  146 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~                
  147 |         );
      |         ~                                       
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multigaussian_naive.hpp:42:34:   required from ‘void adelie_core::solver::multigaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::<lambda()>]’
   42 |                 vec_value_t::Zero(n_classes)
      |                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
rcpp_solver.cpp:143:48:   required from here
  143 |         ad::solver::multigaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  144 |             static_cast<state_multigaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  145 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~          
  146 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~                
  147 |         );
      |         ~                                       
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 1, 1, 1, 1, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<double, 1, 1, 1, 1, 1> >’
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, 1, 1, 1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 1, 1, 1, 1, 1>’
   45 | class Array
      |       ^~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:159:35:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  159 |     util::rowvec_type<value_t, 1> lmda_path;
      |                                   ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, 1, 1, 1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, 1, 1, 1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, 1, 1, 1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, 1, 1, 1, 1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, 1, 1, 1, 1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, 1, 1, 1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 1, 1, 1, 1, 1>’
   45 | class Array
      |       ^~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:159:35:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  159 |     util::rowvec_type<value_t, 1> lmda_path;
      |                                   ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.hpp:67:8:   required from ‘struct adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>’
   67 | struct StateGaussianPinCov: StateGaussianPinBase<
      |        ^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:180:30:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  180 |     state_gaussian_pin_cov_t state_gaussian_pin_cov(
      |                              ^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:283:31:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)> [with auto:85 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:87 = double]’
  283 |         matrix::dvveq(grad, v - grad, n_threads);
      |                             ~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  299 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::solver::compute_lmda_max<Eigen::Array<double, 1, -1, 1, 1, -1>, double, Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Array<double, 1, -1, 1, 1, -1>&, double, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double)::<lambda(auto:44)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::solver::compute_lmda_max<Eigen::Array<double, 1, -1, 1, 1, -1>, double, Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Array<double, 1, -1, 1, 1, -1>&, double, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double)::<lambda(auto:44)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::solver::compute_lmda_max<Eigen::Array<double, 1, -1, 1, 1, -1>, double, Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Array<double, 1, -1, 1, 1, -1>&, double, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double)::<lambda(auto:44)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::solver::compute_lmda_max<Eigen::Array<double, 1, -1, 1, 1, -1>, double, Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Array<double, 1, -1, 1, 1, -1>&, double, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, double)::<lambda(auto:44)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/utils.hpp:17:36:   required from ‘auto adelie_core::solver::compute_lmda_max(const AbsGradType&, ValueType, const PenaltyType&, ValueType) [with AbsGradType = Eigen::Array<double, 1, -1, 1, 1, -1>; ValueType = double; PenaltyType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
   17 |     return vec_value_t::NullaryExpr(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~^
   18 |         abs_grad.size(),
      |         ~~~~~~~~~~~~~~~~            
   19 |         [&](auto i) {
      |         ~~~~~~~~~~~~~               
   20 |             return (penalty[i] <= 0.0) ? 0.0 : abs_grad[i] / penalty[i];
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   21 |         }
      |         ~                           
   22 |     ).maxCoeff() / factor;
      |     ~                               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:301:36:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  301 |         lmda_max = compute_lmda_max(abs_grad, alpha, penalty);
      |                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:345:29:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  345 |         large_lmda_path.head(large_lmda_path_size) = lmda_path.head(large_lmda_path_size);
      |         ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, 1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, 1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, 1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 1, 1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 1, 1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 1, 1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:661:55:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  661 |             Eigen::Map<util::rowvec_type<value_t, 1>> ak_view(&ak);
      |                                                       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, 1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, 1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, 1, 1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<const Eigen::Array<double, 1, 1, 1, 1, 1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Array<double, 1, 1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Array<double, 1, 1, 1, 1, 1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:662:67:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  662 |             const Eigen::Map<const util::rowvec_type<value_t, 1>> A_kk_view(&A_kk);
      |                                                                   ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:664:70:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  664 |             const Eigen::Map<const util::colmat_type<value_t, 1, 1>> Q_view(&Q);
      |                                                                      ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:664:70:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  664 |             const Eigen::Map<const util::colmat_type<value_t, 1, 1>> Q_view(&Q);
      |                                                                      ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:45:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Array<double, 1, -1, 1, 1, -1>; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   96 |         x1.segment(begin, size) = x2.segment(begin, size);
      |                                   ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:283:22:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)> [with auto:85 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:87 = double]’
  283 |         matrix::dvveq(grad, v - grad, n_threads);
      |         ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  299 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/utils.hpp:37:68:   required from ‘void adelie_core::solver::compute_lmda_path(LmdaPathType&, ValueType, ValueType) [with LmdaPathType = Eigen::Array<double, 1, -1, 1, 1, -1>; ValueType = double]’
   37 |         lmda_path = lmda_max * (log_factor * vec_value_t::LinSpaced(
      |                                              ~~~~~~~~~~~~~~~~~~~~~~^
   38 |             lmda_path_size, 0, lmda_path_size-1
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                     
   39 |         )).exp();
      |         ~                                                           
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:312:26:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  312 |         compute_lmda_path(lmda_path, min_ratio, lmda_max);
      |         ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/utils.hpp:37:44:   required from ‘void adelie_core::solver::compute_lmda_path(LmdaPathType&, ValueType, ValueType) [with LmdaPathType = Eigen::Array<double, 1, -1, 1, 1, -1>; ValueType = double]’
   37 |         lmda_path = lmda_max * (log_factor * vec_value_t::LinSpaced(
      |                                ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
   38 |             lmda_path_size, 0, lmda_path_size-1
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   39 |         )).exp();
      |         ~~                                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:312:26:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  312 |         compute_lmda_path(lmda_path, min_ratio, lmda_max);
      |         ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/utils.hpp:37:44:   required from ‘void adelie_core::solver::compute_lmda_path(LmdaPathType&, ValueType, ValueType) [with LmdaPathType = Eigen::Array<double, 1, -1, 1, 1, -1>; ValueType = double]’
   37 |         lmda_path = lmda_max * (log_factor * vec_value_t::LinSpaced(
      |                                ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
   38 |             lmda_path_size, 0, lmda_path_size-1
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   39 |         )).exp();
      |         ~~                                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:312:26:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  312 |         compute_lmda_path(lmda_path, min_ratio, lmda_max);
      |         ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/utils.hpp:39:15:   required from ‘void adelie_core::solver::compute_lmda_path(LmdaPathType&, ValueType, ValueType) [with LmdaPathType = Eigen::Array<double, 1, -1, 1, 1, -1>; ValueType = double]’
   37 |         lmda_path = lmda_max * (log_factor * vec_value_t::LinSpaced(
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |             lmda_path_size, 0, lmda_path_size-1
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   39 |         )).exp();
      |         ~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:312:26:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  312 |         compute_lmda_path(lmda_path, min_ratio, lmda_max);
      |         ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/utils.hpp:37:30:   required from ‘void adelie_core::solver::compute_lmda_path(LmdaPathType&, ValueType, ValueType) [with LmdaPathType = Eigen::Array<double, 1, -1, 1, 1, -1>; ValueType = double]’
   37 |         lmda_path = lmda_max * (log_factor * vec_value_t::LinSpaced(
      |                     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |             lmda_path_size, 0, lmda_path_size-1
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   39 |         )).exp();
      |         ~~~~~~~~              
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:312:26:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  312 |         compute_lmda_path(lmda_path, min_ratio, lmda_max);
      |         ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:50)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:50)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:50)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:50)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:103:59:   required from ‘void adelie_core::solver::screen(StateType&, ValueType, bool, int) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; ValueType = double]’
  103 |             vec_value_t weights = vec_value_t::NullaryExpr(
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^
  104 |                 G, [&](auto i) {
      |                 ~~~~~~~~~~~~~~~~                           
  105 |                     return (penalty[i] <= 0) ?
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  106 |                         alpha * lmda : std::min(abs_grad[i] / penalty[i], alpha * lmda);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  107 |                 }
      |                 ~                                          
  108 |             );
      |             ~                                              
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:298:23:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  298 |         solver::screen(
      |         ~~~~~~~~~~~~~~^
  299 |             state,
      |             ~~~~~~     
  300 |             lmda,
      |             ~~~~~      
  301 |             kkt_passed,
      |             ~~~~~~~~~~~
  302 |             n_new_active
      |             ~~~~~~~~~~~~
  303 |         );
      |         ~              
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:53)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:53)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:53)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:53)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:121:70:   required from ‘void adelie_core::solver::screen(StateType&, ValueType, bool, int) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; ValueType = double]’
  121 |             vec_value_t weights_sorted_sub = vec_value_t::NullaryExpr(
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~^
  122 |                 subset_size,
      |                 ~~~~~~~~~~~~                                          
  123 |                 [&](auto i) { return weights[order[G-subset_size+i]]; }
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  124 |             );
      |             ~                                                         
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:298:23:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  298 |         solver::screen(
      |         ~~~~~~~~~~~~~~^
  299 |             state,
      |             ~~~~~~     
  300 |             lmda,
      |             ~~~~~      
  301 |             kkt_passed,
      |             ~~~~~~~~~~~
  302 |             n_new_active
      |             ~~~~~~~~~~~~
  303 |         );
      |         ~              
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:62:48:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   62 |         Eigen::Map<util::colmat_type<value_t>> A_gg(
      |                                                ^~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from ‘class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >’
   92 |             >::type DiagonalReturnType;
      |                     ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >’
  111 |     typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
      |                                                              ^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from ‘class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >’
   97 |             >::type SubDiagonalReturnType;
      |                     ^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >’
  111 |     typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
      |                                                              ^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >’
  111 |     typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
      |                                                              ^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:19:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   86 |         svars.head(D.size()) = D.array() * (D.array() >= 0).template cast<value_t>();
      |         ~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:39:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   86 |         svars.head(D.size()) = D.array() * (D.array() >= 0).template cast<value_t>();
      |                                ~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:55:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   86 |         svars.head(D.size()) = D.array() * (D.array() >= 0).template cast<value_t>();
      |                                            ~~~~~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:83:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   86 |         svars.head(D.size()) = D.array() * (D.array() >= 0).template cast<value_t>();
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:42:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   86 |         svars.head(D.size()) = D.array() * (D.array() >= 0).template cast<value_t>();
      |                                ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Array<double, 1, -1, 1, 1, -1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:98:25:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   98 |         ) = grad.segment(g, gs);
      |             ~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:243:44:   required from ‘adelie_core::solver::gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:112&, const auto:113&, auto:114)> [with auto:112 = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:113 = adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>; auto:114 = double]’
  243 |             matrix::dvsubi(grad, resid_sum * X_means, n_threads);
      |                                  ~~~~~~~~~~^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:109&, auto:110&)>; UpdateLossNullType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:111&)>; UpdateInvarianceType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:112&, const auto:113&, auto:114)>; UpdateSolutionsType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:115&, auto:116&, auto:117)>; EarlyExitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:118&)>; ScreenType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:119&, auto:120, auto:121, auto:122)>; FitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:123&, auto:124)>]’
  299 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; TidyType = solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  276 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  277 |         state,
      |         ~~~~~~         
  278 |         pb,
      |         ~~~            
  279 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  280 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  281 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  282 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  283 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  284 |         screen_f,
      |         ~~~~~~~~~      
  285 |         fit_f
      |         ~~~~~          
  286 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  300 |     solve(
      |     ~~~~~^
  301 |         state,
      |         ~~~~~~
  302 |         pb,
      |         ~~~
  303 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  304 |         [](){},
      |         ~~~~~~~
  305 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  306 |     );
      |     ~     
rcpp_solver.cpp:68:43:   required from here
   68 |         ad::solver::gaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   69 |             static_cast<state_gaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   70 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~     
   71 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
   72 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:270:24:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  270 |         hess = hess.max(0) + value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>();
      |                ~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  502 |     solve(
      |     ~~~~~^
  503 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  507 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         },
      |         ~~
  510 |         [](){},
      |         ~~~~~~~
  511 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  512 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:270:96:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  270 |         hess = hess.max(0) + value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>();
      |                                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  502 |     solve(
      |     ~~~~~^
  503 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  507 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         },
      |         ~~
  510 |         [](){},
      |         ~~~~~~~
  511 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  512 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:270:60:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  270 |         hess = hess.max(0) + value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>();
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  502 |     solve(
      |     ~~~~~^
  503 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  507 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         },
      |         ~~
  510 |         [](){},
      |         ~~~~~~~
  511 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  512 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:270:28:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  270 |         hess = hess.max(0) + value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>();
      |                ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  502 |     solve(
      |     ~~~~~^
  503 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  507 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         },
      |         ~~
  510 |         [](){},
      |         ~~~~~~~
  511 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  512 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:272:29:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  272 |         irls_weights = hess / hess_sum;
      |                        ~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  502 |     solve(
      |     ~~~~~^
  503 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  507 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         },
      |         ~~
  510 |         [](){},
      |         ~~~~~~~
  511 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  512 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:273:46:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  273 |         irls_weights_sqrt = irls_weights.sqrt();
      |                             ~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  502 |     solve(
      |     ~~~~~^
  503 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  507 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         },
      |         ~~
  510 |         [](){},
      |         ~~~~~~~
  511 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  512 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:274:29:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  274 |         irls_y = irls_resid + eta - offsets;
      |                  ~~~~~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  502 |     solve(
      |     ~~~~~^
  503 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  507 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         },
      |         ~~
  510 |         [](){},
      |         ~~~~~~~
  511 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  512 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:274:35:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  274 |         irls_y = irls_resid + eta - offsets;
      |                  ~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  502 |     solve(
      |     ~~~~~^
  503 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  507 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         },
      |         ~~
  510 |         [](){},
      |         ~~~~~~~
  511 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  512 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:275:43:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  275 |         const auto y_mean = (irls_weights * irls_y).sum();
      |                             ~~~~~~~~~~~~~~^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  502 |     solve(
      |     ~~~~~^
  503 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  507 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         },
      |         ~~
  510 |         [](){},
      |         ~~~~~~~
  511 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  512 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:276:57:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  276 |         const auto y_var = (irls_weights * irls_y.square()).sum() - intercept * y_mean * y_mean;
      |                                            ~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  502 |     solve(
      |     ~~~~~^
  503 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  507 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         },
      |         ~~
  510 |         [](){},
      |         ~~~~~~~
  511 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  512 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:276:42:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  276 |         const auto y_var = (irls_weights * irls_y.square()).sum() - intercept * y_mean * y_mean;
      |                            ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  502 |     solve(
      |     ~~~~~^
  503 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  507 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         },
      |         ~~
  510 |         [](){},
      |         ~~~~~~~
  511 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  512 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:375:22:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  375 |         eta = irls_y + offsets - irls_resid;
      |               ~~~~~~~^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  502 |     solve(
      |     ~~~~~^
  503 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  507 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         },
      |         ~~
  510 |         [](){},
      |         ~~~~~~~
  511 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  512 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:375:32:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  375 |         eta = irls_y + offsets - irls_resid;
      |               ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  502 |     solve(
      |     ~~~~~^
  503 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  507 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         },
      |         ~~
  510 |         [](){},
      |         ~~~~~~~
  511 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  512 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:392:30:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  392 |         if (std::abs(((resid - resid_prev) * (eta - eta_prev)).sum()) <= irls_tol * n_active) {
      |                       ~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  502 |     solve(
      |     ~~~~~^
  503 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  507 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         },
      |         ~~
  510 |         [](){},
      |         ~~~~~~~
  511 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  512 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:392:44:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  392 |         if (std::abs(((resid - resid_prev) * (eta - eta_prev)).sum()) <= irls_tol * n_active) {
      |                      ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  502 |     solve(
      |     ~~~~~^
  503 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  507 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         },
      |         ~~
  510 |         [](){},
      |         ~~~~~~~
  511 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  512 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseVector<double, 1, int>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:445:22:   required from ‘static void Eigen::internal::sparse_vector_assign_selector<Dest, Src, 1>::run(Dest&, const Src&) [with Dest = Eigen::SparseVector<double, 1, int>; Src = Eigen::Block<Eigen::SparseVector<double, 1, int>, 1, -1, false>]’
  445 |     SrcEvaluatorType srcEval(src);
      |                      ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:319:78:   required from ‘Eigen::SparseVector<_Scalar, _Flags, _StorageIndex>& Eigen::SparseVector<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::SparseVector<double, 1, int>, 1, -1, false>; _Scalar = double; int _Options = 1; _StorageIndex = int]’
  319 |       internal::sparse_vector_assign_selector<SparseVector,OtherDerived>::run(tmp,other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multigaussian_naive.hpp:39:18:   required from ‘void adelie_core::solver::multigaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::<lambda()>]’
   39 |             beta = beta.tail(beta.size() - n_classes);
      |             ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_solver.cpp:143:48:   required from here
  143 |         ad::solver::multigaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  144 |             static_cast<state_multigaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  145 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~          
  146 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~                
  147 |         );
      |         ~                                       
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Array<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Array<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Array<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Array<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:288:29:   required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase<OtherDerived>&, typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type = Eigen::Array<double, -1, 1>::PrivateType; typename OtherDerived::Scalar = double; typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar = double]’
  288 |       : Base(other.derived())
      |                             ^
rcpp_glm.h:166:41:   required from here
  166 |     vec_value_t y() const { return ptr->y; }
      |                                    ~~~~~^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, 1, -1, 1, 1, -1>; Src = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Func = assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:371:41:   required from ‘void Eigen::Ref<const TPlainObjectType, Options, StrideType>::construct(const Expression&, Eigen::internal::false_type) [with Expression = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array<double, 1, -1, 1, 1, -1>; int Options = 0; StrideType = Eigen::InnerStride<1>]’
  371 |       internal::call_assignment_no_alias(m_object,expr,internal::assign_op<Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:364:18:   required from ‘void Eigen::Ref<const TPlainObjectType, Options, StrideType>::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array<double, 1, -1, 1, 1, -1>; int Options = 0; StrideType = Eigen::InnerStride<1>]’
  364 |         construct(expr, internal::false_type());
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:345:16:   required from ‘Eigen::Ref<const TPlainObjectType, Options, StrideType>::Ref(const Eigen::DenseBase<OtherDerived>&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<const TPlainObjectType, Options, StrideType> >::match<Derived>::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array<double, 1, -1, 1, 1, -1>; int Options = 0; StrideType = Eigen::InnerStride<1>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<const TPlainObjectType, Options, StrideType> >::match<Derived>::ScalarTypeMatch), Derived>::type = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<Eigen::Ref<const TPlainObjectType, Options, StrideType> >::match<Derived> = Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
  345 |       construct(expr.derived(), typename Traits::template match<Derived>::type());
      |       ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_glm.h:174:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, 1, 1, 1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, 1, 1, 1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, 1, 1, 1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, 1, 1, 1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Array<double, 1, 1, 1, 1, 1>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:92:24:   required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Scalar&) [with _Scalar = double; int _Rows = 1; int _Cols = 1; int _Options = 1; int _MaxRows = 1; int _MaxCols = 1; Scalar = double]’
   92 |       Base::setConstant(value);
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:160:15:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  160 |     lmda_path = lmda;
      |     ~~~~~~~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<const Eigen::SparseVector<double, 1, int>, 0, Eigen::Stride<0, 0> > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseVector<double, 1, int>, 0, Eigen::Stride<0, 0> > >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<const Eigen::SparseVector<double, 1, int>, 0, Eigen::Stride<0, 0> >, 0>’
   50 | class SparseMapBase<Derived,ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/eigen/map_sparsevector.hpp:22:8:   required from ‘class Eigen::Map<const Eigen::SparseVector<double, 1, int>, 0, Eigen::Stride<0, 0> >’
   22 |  class Map<const SparseVector<MatScalar,MatOptions,MatIndex>, Options, StrideType>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:608:42:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; UpdateCoefficientG0Type = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:74, value_t&, value_t, value_t, value_t, value_t, value_t)>; UpdateCoefficientG1Type = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:75, auto:76&, const auto:77&, const auto:78&, auto:79, auto:80, const auto:81&)>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  608 |         Eigen::Map<const sp_vec_value_t> beta_map(
      |                                          ^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:60:58:   required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array<double, 1, -1, 1, 1, -1>; ScreenSetType = std::vector<int>; ScreenHashsetType = std::unordered_set<int>; ScreenBeginsType = std::vector<int>; ScreenBetaType = std::vector<double>; ScreenDualBeginsType = std::vector<int>; ScreenDualType = std::vector<double>; ValueType = double; AbsGradType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
   60 |         const auto common_expr = grad.segment(k, size_k) - regul * sbeta;
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20:   required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; ValueType = double]’
  106 |     update_abs_grad(
      |     ~~~~~~~~~~~~~~~^
  107 |         state.constraints,
      |         ~~~~~~~~~~~~~~~~~~
  108 |         state.groups,
      |         ~~~~~~~~~~~~~
  109 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  110 |         state.penalty,
      |         ~~~~~~~~~~~~~~
  111 |         state.grad,
      |         ~~~~~~~~~~~ 
  112 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~
  113 |         state.screen_hashset,
      |         ~~~~~~~~~~~~~~~~~~~~~
  114 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  115 |         state.screen_beta,
      |         ~~~~~~~~~~~~~~~~~~
  116 |         state.screen_dual_begins,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  117 |         state.screen_dual,
      |         ~~~~~~~~~~~~~~~~~~
  118 |         lmda,
      |         ~~~~~       
  119 |         state.alpha,
      |         ~~~~~~~~~~~~
  120 |         state.abs_grad,
      |         ~~~~~~~~~~~~~~~
  121 |         state.n_threads
      |         ~~~~~~~~~~~~~~~
  122 |     );
      |     ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)> [with auto:85 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:87 = double]’
  285 |         state::update_abs_grad(state, lmda);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  299 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:63:45:   required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array<double, 1, -1, 1, 1, -1>; ScreenSetType = std::vector<int>; ScreenHashsetType = std::unordered_set<int>; ScreenBeginsType = std::vector<int>; ScreenBetaType = std::vector<double>; ScreenDualBeginsType = std::vector<int>; ScreenDualType = std::vector<double>; ValueType = double; AbsGradType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
   63 |             abs_grad[i] = common_expr.matrix().norm();
      |                           ~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20:   required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; ValueType = double]’
  106 |     update_abs_grad(
      |     ~~~~~~~~~~~~~~~^
  107 |         state.constraints,
      |         ~~~~~~~~~~~~~~~~~~
  108 |         state.groups,
      |         ~~~~~~~~~~~~~
  109 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  110 |         state.penalty,
      |         ~~~~~~~~~~~~~~
  111 |         state.grad,
      |         ~~~~~~~~~~~ 
  112 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~
  113 |         state.screen_hashset,
      |         ~~~~~~~~~~~~~~~~~~~~~
  114 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  115 |         state.screen_beta,
      |         ~~~~~~~~~~~~~~~~~~
  116 |         state.screen_dual_begins,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  117 |         state.screen_dual,
      |         ~~~~~~~~~~~~~~~~~~
  118 |         lmda,
      |         ~~~~~       
  119 |         state.alpha,
      |         ~~~~~~~~~~~~
  120 |         state.abs_grad,
      |         ~~~~~~~~~~~~~~~
  121 |         state.n_threads
      |         ~~~~~~~~~~~~~~~
  122 |     );
      |     ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)> [with auto:85 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:87 = double]’
  285 |         state::update_abs_grad(state, lmda);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  299 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>]’
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:72:33:   required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array<double, 1, -1, 1, 1, -1>; ScreenSetType = std::vector<int>; ScreenHashsetType = std::unordered_set<int>; ScreenBeginsType = std::vector<int>; ScreenBetaType = std::vector<double>; ScreenDualBeginsType = std::vector<int>; ScreenDualType = std::vector<double>; ValueType = double; AbsGradType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
   72 |             constraint->gradient(sbeta, mu, vbuff);
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20:   required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; ValueType = double]’
  106 |     update_abs_grad(
      |     ~~~~~~~~~~~~~~~^
  107 |         state.constraints,
      |         ~~~~~~~~~~~~~~~~~~
  108 |         state.groups,
      |         ~~~~~~~~~~~~~
  109 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  110 |         state.penalty,
      |         ~~~~~~~~~~~~~~
  111 |         state.grad,
      |         ~~~~~~~~~~~ 
  112 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~
  113 |         state.screen_hashset,
      |         ~~~~~~~~~~~~~~~~~~~~~
  114 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  115 |         state.screen_beta,
      |         ~~~~~~~~~~~~~~~~~~
  116 |         state.screen_dual_begins,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  117 |         state.screen_dual,
      |         ~~~~~~~~~~~~~~~~~~
  118 |         lmda,
      |         ~~~~~       
  119 |         state.alpha,
      |         ~~~~~~~~~~~~
  120 |         state.abs_grad,
      |         ~~~~~~~~~~~~~~~
  121 |         state.n_threads
      |         ~~~~~~~~~~~~~~~
  122 |     );
      |     ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)> [with auto:85 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:87 = double]’
  285 |         state::update_abs_grad(state, lmda);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  299 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:73:40:   required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array<double, 1, -1, 1, 1, -1>; ScreenSetType = std::vector<int>; ScreenHashsetType = std::unordered_set<int>; ScreenBeginsType = std::vector<int>; ScreenBetaType = std::vector<double>; ScreenDualBeginsType = std::vector<int>; ScreenDualType = std::vector<double>; ValueType = double; AbsGradType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
   73 |             abs_grad[i] = (common_expr - vbuff).matrix().norm();
      |                           ~~~~~~~~~~~~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20:   required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; ValueType = double]’
  106 |     update_abs_grad(
      |     ~~~~~~~~~~~~~~~^
  107 |         state.constraints,
      |         ~~~~~~~~~~~~~~~~~~
  108 |         state.groups,
      |         ~~~~~~~~~~~~~
  109 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  110 |         state.penalty,
      |         ~~~~~~~~~~~~~~
  111 |         state.grad,
      |         ~~~~~~~~~~~ 
  112 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~
  113 |         state.screen_hashset,
      |         ~~~~~~~~~~~~~~~~~~~~~
  114 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  115 |         state.screen_beta,
      |         ~~~~~~~~~~~~~~~~~~
  116 |         state.screen_dual_begins,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  117 |         state.screen_dual,
      |         ~~~~~~~~~~~~~~~~~~
  118 |         lmda,
      |         ~~~~~       
  119 |         state.alpha,
      |         ~~~~~~~~~~~~
  120 |         state.abs_grad,
      |         ~~~~~~~~~~~~~~~
  121 |         state.n_threads
      |         ~~~~~~~~~~~~~~~
  122 |     );
      |     ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)> [with auto:85 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:87 = double]’
  285 |         state::update_abs_grad(state, lmda);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  299 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:73:55:   required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array<double, 1, -1, 1, 1, -1>; ScreenSetType = std::vector<int>; ScreenHashsetType = std::unordered_set<int>; ScreenBeginsType = std::vector<int>; ScreenBetaType = std::vector<double>; ScreenDualBeginsType = std::vector<int>; ScreenDualType = std::vector<double>; ValueType = double; AbsGradType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
   73 |             abs_grad[i] = (common_expr - vbuff).matrix().norm();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20:   required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; ValueType = double]’
  106 |     update_abs_grad(
      |     ~~~~~~~~~~~~~~~^
  107 |         state.constraints,
      |         ~~~~~~~~~~~~~~~~~~
  108 |         state.groups,
      |         ~~~~~~~~~~~~~
  109 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  110 |         state.penalty,
      |         ~~~~~~~~~~~~~~
  111 |         state.grad,
      |         ~~~~~~~~~~~ 
  112 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~
  113 |         state.screen_hashset,
      |         ~~~~~~~~~~~~~~~~~~~~~
  114 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  115 |         state.screen_beta,
      |         ~~~~~~~~~~~~~~~~~~
  116 |         state.screen_dual_begins,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  117 |         state.screen_dual,
      |         ~~~~~~~~~~~~~~~~~~
  118 |         lmda,
      |         ~~~~~       
  119 |         state.alpha,
      |         ~~~~~~~~~~~~
  120 |         state.abs_grad,
      |         ~~~~~~~~~~~~~~~
  121 |         state.n_threads
      |         ~~~~~~~~~~~~~~~
  122 |     );
      |     ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)> [with auto:85 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:87 = double]’
  285 |         state::update_abs_grad(state, lmda);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  299 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:83:53:   required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array<double, 1, -1, 1, 1, -1>; ScreenSetType = std::vector<int>; ScreenHashsetType = std::unordered_set<int>; ScreenBeginsType = std::vector<int>; ScreenBetaType = std::vector<double>; ScreenDualBeginsType = std::vector<int>; ScreenDualType = std::vector<double>; ValueType = double; AbsGradType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
   83 |         abs_grad[i] = grad.segment(k, size_k).matrix().norm();
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20:   required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; ValueType = double]’
  106 |     update_abs_grad(
      |     ~~~~~~~~~~~~~~~^
  107 |         state.constraints,
      |         ~~~~~~~~~~~~~~~~~~
  108 |         state.groups,
      |         ~~~~~~~~~~~~~
  109 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  110 |         state.penalty,
      |         ~~~~~~~~~~~~~~
  111 |         state.grad,
      |         ~~~~~~~~~~~ 
  112 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~
  113 |         state.screen_hashset,
      |         ~~~~~~~~~~~~~~~~~~~~~
  114 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  115 |         state.screen_beta,
      |         ~~~~~~~~~~~~~~~~~~
  116 |         state.screen_dual_begins,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  117 |         state.screen_dual,
      |         ~~~~~~~~~~~~~~~~~~
  118 |         lmda,
      |         ~~~~~       
  119 |         state.alpha,
      |         ~~~~~~~~~~~~
  120 |         state.abs_grad,
      |         ~~~~~~~~~~~~~~~
  121 |         state.n_threads
      |         ~~~~~~~~~~~~~~~
  122 |     );
      |     ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)> [with auto:85 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:87 = double]’
  285 |         state::update_abs_grad(state, lmda);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  299 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:66:46:   required from ‘void adelie_core::matrix::dvsubi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Array<double, 1, -1, 1, 1, -1>; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
   66 |         x1.segment(begin, size) -= x2.segment(begin, size);
      |                                    ~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:243:27:   required from ‘adelie_core::solver::gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:112&, const auto:113&, auto:114)> [with auto:112 = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:113 = adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>; auto:114 = double]’
  243 |             matrix::dvsubi(grad, resid_sum * X_means, n_threads);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:109&, auto:110&)>; UpdateLossNullType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:111&)>; UpdateInvarianceType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:112&, const auto:113&, auto:114)>; UpdateSolutionsType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:115&, auto:116&, auto:117)>; EarlyExitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:118&)>; ScreenType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:119&, auto:120, auto:121, auto:122)>; FitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:123&, auto:124)>]’
  299 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; TidyType = solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  276 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  277 |         state,
      |         ~~~~~~         
  278 |         pb,
      |         ~~~            
  279 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  280 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  281 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  282 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  283 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  284 |         screen_f,
      |         ~~~~~~~~~      
  285 |         fit_f
      |         ~~~~~          
  286 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  300 |     solve(
      |     ~~~~~^
  301 |         state,
      |         ~~~~~~
  302 |         pb,
      |         ~~~
  303 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  304 |         [](){},
      |         ~~~~~~~
  305 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  306 |     );
      |     ~     
rcpp_solver.cpp:68:43:   required from here
   68 |         ad::solver::gaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   69 |             static_cast<state_gaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   70 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~     
   71 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
   72 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:50)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:50)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:50)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:50)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:103:59:   required from ‘void adelie_core::solver::screen(StateType&, ValueType, bool, int) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; ValueType = double]’
  103 |             vec_value_t weights = vec_value_t::NullaryExpr(
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^
  104 |                 G, [&](auto i) {
      |                 ~~~~~~~~~~~~~~~~                           
  105 |                     return (penalty[i] <= 0) ?
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  106 |                         alpha * lmda : std::min(abs_grad[i] / penalty[i], alpha * lmda);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  107 |                 }
      |                 ~                                          
  108 |             );
      |             ~                                              
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:259:23:   required from ‘adelie_core::solver::gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:119&, auto:120, auto:121, auto:122)> [with auto:119 = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:120 = double; auto:121 = bool; auto:122 = int]’
  259 |         solver::screen(
      |         ~~~~~~~~~~~~~~^
  260 |             state,
      |             ~~~~~~     
  261 |             lmda,
      |             ~~~~~      
  262 |             kkt_passed,
      |             ~~~~~~~~~~~
  263 |             n_new_active
      |             ~~~~~~~~~~~~
  264 |         );
      |         ~              
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:109&, auto:110&)>; UpdateLossNullType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:111&)>; UpdateInvarianceType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:112&, const auto:113&, auto:114)>; UpdateSolutionsType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:115&, auto:116&, auto:117)>; EarlyExitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:118&)>; ScreenType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:119&, auto:120, auto:121, auto:122)>; FitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:123&, auto:124)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; TidyType = solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  276 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  277 |         state,
      |         ~~~~~~         
  278 |         pb,
      |         ~~~            
  279 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  280 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  281 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  282 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  283 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  284 |         screen_f,
      |         ~~~~~~~~~      
  285 |         fit_f
      |         ~~~~~          
  286 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  300 |     solve(
      |     ~~~~~^
  301 |         state,
      |         ~~~~~~
  302 |         pb,
      |         ~~~
  303 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  304 |         [](){},
      |         ~~~~~~~
  305 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  306 |     );
      |     ~     
rcpp_solver.cpp:68:43:   required from here
   68 |         ad::solver::gaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   69 |             static_cast<state_gaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   70 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~     
   71 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
   72 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:53)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:53)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:53)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:53)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:121:70:   required from ‘void adelie_core::solver::screen(StateType&, ValueType, bool, int) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; ValueType = double]’
  121 |             vec_value_t weights_sorted_sub = vec_value_t::NullaryExpr(
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~^
  122 |                 subset_size,
      |                 ~~~~~~~~~~~~                                          
  123 |                 [&](auto i) { return weights[order[G-subset_size+i]]; }
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  124 |             );
      |             ~                                                         
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:259:23:   required from ‘adelie_core::solver::gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:119&, auto:120, auto:121, auto:122)> [with auto:119 = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:120 = double; auto:121 = bool; auto:122 = int]’
  259 |         solver::screen(
      |         ~~~~~~~~~~~~~~^
  260 |             state,
      |             ~~~~~~     
  261 |             lmda,
      |             ~~~~~      
  262 |             kkt_passed,
      |             ~~~~~~~~~~~
  263 |             n_new_active
      |             ~~~~~~~~~~~~
  264 |         );
      |         ~              
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:109&, auto:110&)>; UpdateLossNullType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:111&)>; UpdateInvarianceType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:112&, const auto:113&, auto:114)>; UpdateSolutionsType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:115&, auto:116&, auto:117)>; EarlyExitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:118&)>; ScreenType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:119&, auto:120, auto:121, auto:122)>; FitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:123&, auto:124)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; TidyType = solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  276 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  277 |         state,
      |         ~~~~~~         
  278 |         pb,
      |         ~~~            
  279 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  280 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  281 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  282 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  283 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  284 |         screen_f,
      |         ~~~~~~~~~      
  285 |         fit_f
      |         ~~~~~          
  286 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  300 |     solve(
      |     ~~~~~^
  301 |         state,
      |         ~~~~~~
  302 |         pb,
      |         ~~~
  303 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  304 |         [](){},
      |         ~~~~~~~
  305 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  306 |     );
      |     ~     
rcpp_solver.cpp:68:43:   required from here
   68 |         ad::solver::gaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   69 |             static_cast<state_gaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   70 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~     
   71 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
   72 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:142:23:   required from ‘void adelie_core::solver::glm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>]’
  142 |         beta0 = (hess * (irls_y + eta - offsets)).sum() / hess_sum;
      |                 ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:508:29:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)> [with auto:141 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:142 = adelie_core::glm::GlmBase<double>; auto:143 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)> [with auto:127 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  434 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  278 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  502 |     solve(
      |     ~~~~~^
  503 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  507 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         },
      |         ~~
  510 |         [](){},
      |         ~~~~~~~
  511 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  512 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:146:21:   required from ‘void adelie_core::solver::glm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>]’
  146 |         eta = beta0 + offsets;
      |               ~~~~~~^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:508:29:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)> [with auto:141 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:142 = adelie_core::glm::GlmBase<double>; auto:143 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)> [with auto:127 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  434 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  278 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  502 |     solve(
      |     ~~~~~^
  503 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  507 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         },
      |         ~~
  510 |         [](){},
      |         ~~~~~~~
  511 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  512 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:149:21:   required from ‘void adelie_core::glm::GlmBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  149 |             hess.max(0) +
      |             ~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  268 |         glm.inv_hessian_gradient(eta, resid, hess, irls_resid);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  502 |     solve(
      |     ~~~~~^
  503 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  507 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         },
      |         ~~
  510 |         [](){},
      |         ~~~~~~~
  511 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  512 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  268 |         glm.inv_hessian_gradient(eta, resid, hess, irls_resid);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  502 |     solve(
      |     ~~~~~^
  503 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  507 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         },
      |         ~~
  510 |         [](){},
      |         ~~~~~~~
  511 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  512 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:150:43:   required from ‘void adelie_core::glm::GlmBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  150 |             value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  268 |         glm.inv_hessian_gradient(eta, resid, hess, irls_resid);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  502 |     solve(
      |     ~~~~~^
  503 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  507 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         },
      |         ~~
  510 |         [](){},
      |         ~~~~~~~
  511 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  512 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:149:25:   required from ‘void adelie_core::glm::GlmBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  148 |         inv_hess_grad = grad / (
      |                                ~
  149 |             hess.max(0) +
      |             ~~~~~~~~~~~~^
  150 |             value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  151 |         );
      |         ~                
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  268 |         glm.inv_hessian_gradient(eta, resid, hess, irls_resid);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  502 |     solve(
      |     ~~~~~^
  503 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  507 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         },
      |         ~~
  510 |         [](){},
      |         ~~~~~~~
  511 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  512 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:148:30:   required from ‘void adelie_core::glm::GlmBase<ValueType>::inv_hessian_gradient(const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, const Eigen::Ref<const Eigen::Array<_Scalar, 1, -1> >&, Eigen::Ref<Eigen::Array<_Scalar, 1, -1> >) [with ValueType = double; typename Eigen::internal::conditional<const Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional<Eigen::Array<_Scalar, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  148 |         inv_hess_grad = grad / (
      |                         ~~~~~^~~
  149 |             hess.max(0) +
      |             ~~~~~~~~~~~~~     
  150 |             value_t(Configs::hessian_min) * (hess <= 0).template cast<value_t>()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  151 |         );
      |         ~                     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  268 |         glm.inv_hessian_gradient(eta, resid, hess, irls_resid);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  502 |     solve(
      |     ~~~~~^
  503 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  507 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         },
      |         ~~
  510 |         [](){},
      |         ~~~~~~~
  511 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  512 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  268 |         glm.inv_hessian_gradient(eta, resid, hess, irls_resid);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  502 |     solve(
      |     ~~~~~^
  503 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  507 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         },
      |         ~~
  510 |         [](){},
      |         ~~~~~~~
  511 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  512 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:50)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:50)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:50)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:50)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:103:59:   required from ‘void adelie_core::solver::screen(StateType&, ValueType, bool, int) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; ValueType = double]’
  103 |             vec_value_t weights = vec_value_t::NullaryExpr(
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^
  104 |                 G, [&](auto i) {
      |                 ~~~~~~~~~~~~~~~~                           
  105 |                     return (penalty[i] <= 0) ?
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~             
  106 |                         alpha * lmda : std::min(abs_grad[i] / penalty[i], alpha * lmda);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  107 |                 }
      |                 ~                                          
  108 |             );
      |             ~                                              
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:458:23:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)> [with auto:135 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:136 = double; auto:137 = bool; auto:138 = int]’
  458 |         solver::screen(
      |         ~~~~~~~~~~~~~~^
  459 |             state,
      |             ~~~~~~     
  460 |             lmda,
      |             ~~~~~      
  461 |             kkt_passed,
      |             ~~~~~~~~~~~
  462 |             n_new_active
      |             ~~~~~~~~~~~~
  463 |         );
      |         ~              
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  502 |     solve(
      |     ~~~~~^
  503 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  507 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         },
      |         ~~
  510 |         [](){},
      |         ~~~~~~~
  511 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  512 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:53)>, Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:53)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:53)>, Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<adelie_core::solver::screen<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>, double>(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, double, bool, int)::<lambda()>::<lambda(auto:53)>, Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:121:70:   required from ‘void adelie_core::solver::screen(StateType&, ValueType, bool, int) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; ValueType = double]’
  121 |             vec_value_t weights_sorted_sub = vec_value_t::NullaryExpr(
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~^
  122 |                 subset_size,
      |                 ~~~~~~~~~~~~                                          
  123 |                 [&](auto i) { return weights[order[G-subset_size+i]]; }
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  124 |             );
      |             ~                                                         
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:458:23:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)> [with auto:135 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:136 = double; auto:137 = bool; auto:138 = int]’
  458 |         solver::screen(
      |         ~~~~~~~~~~~~~~^
  459 |             state,
      |             ~~~~~~     
  460 |             lmda,
      |             ~~~~~      
  461 |             kkt_passed,
      |             ~~~~~~~~~~~
  462 |             n_new_active
      |             ~~~~~~~~~~~~
  463 |         );
      |         ~              
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  502 |     solve(
      |     ~~~~~^
  503 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  507 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         },
      |         ~~
  510 |         [](){},
      |         ~~~~~~~
  511 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  512 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:156:23:   required from ‘void adelie_core::solver::multiglm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = GlmWrap<adelie_core::glm::GlmMultiBase<double> >; BufferPackType = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  156 |         irls_y += eta - offsets;
      |                   ~~~~^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46:   required from ‘adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)> [with auto:144 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)> [with auto:127 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  434 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  278 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  234 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  235 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  236 |         glm_wrap,
      |         ~~~~~~~~~     
  237 |         pb,
      |         ~~~           
  238 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  239 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |         },
      |         ~~            
  243 |         tidy,
      |         ~~~~~         
  244 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  245 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:167:31:   required from ‘void adelie_core::solver::multiglm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = GlmWrap<adelie_core::glm::GlmMultiBase<double> >; BufferPackType = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  167 |             (irls_weights_arr * irls_y_arr).colwise().sum() /
      |             ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46:   required from ‘adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)> [with auto:144 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)> [with auto:127 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  434 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  278 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  234 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  235 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  236 |         glm_wrap,
      |         ~~~~~~~~~     
  237 |         pb,
      |         ~~~           
  238 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  239 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |         },
      |         ~~            
  243 |         tidy,
      |         ~~~~~         
  244 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  245 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:167:58:   required from ‘void adelie_core::solver::multiglm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = GlmWrap<adelie_core::glm::GlmMultiBase<double> >; BufferPackType = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  167 |             (irls_weights_arr * irls_y_arr).colwise().sum() /
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46:   required from ‘adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)> [with auto:144 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)> [with auto:127 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  434 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  278 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  234 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  235 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  236 |         glm_wrap,
      |         ~~~~~~~~~     
  237 |         pb,
      |         ~~~           
  238 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  239 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |         },
      |         ~~            
  243 |         tidy,
      |         ~~~~~         
  244 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  245 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:168:43:   required from ‘void adelie_core::solver::multiglm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = GlmWrap<adelie_core::glm::GlmMultiBase<double> >; BufferPackType = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  168 |             irls_weights_arr.colwise().sum()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46:   required from ‘adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)> [with auto:144 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)> [with auto:127 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  434 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  278 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  234 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  235 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  236 |         glm_wrap,
      |         ~~~~~~~~~     
  237 |         pb,
      |         ~~~           
  238 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  239 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |         },
      |         ~~            
  243 |         tidy,
      |         ~~~~~         
  244 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  245 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>, const Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>, const Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>, const Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>, const Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>, const Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:167:61:   required from ‘void adelie_core::solver::multiglm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = GlmWrap<adelie_core::glm::GlmMultiBase<double> >; BufferPackType = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  166 |         beta0 = (
      |                 ~                                            
  167 |             (irls_weights_arr * irls_y_arr).colwise().sum() /
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  168 |             irls_weights_arr.colwise().sum()
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                 
  169 |         );
      |         ~                                                    
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46:   required from ‘adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)> [with auto:144 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)> [with auto:127 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  434 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  278 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  234 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  235 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  236 |         glm_wrap,
      |         ~~~~~~~~~     
  237 |         pb,
      |         ~~~           
  238 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  239 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |         },
      |         ~~            
  243 |         tidy,
      |         ~~~~~         
  244 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  245 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::Array<double, 1, -1, 1, 1, -1>, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::Array<double, 1, -1, 1, 1, -1>, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Replicate<Eigen::Array<double, 1, -1, 1, 1, -1>, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::Array<double, 1, -1, 1, 1, -1>, -1, 1>’
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::Array<double, 1, -1, 1, 1, -1>, -1, 1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::Array<double, 1, -1, 1, 1, -1>, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46:   required from ‘adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)> [with auto:144 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)> [with auto:127 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  434 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  278 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  234 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  235 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  236 |         glm_wrap,
      |         ~~~~~~~~~     
  237 |         pb,
      |         ~~~           
  238 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  239 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |         },
      |         ~~            
  243 |         tidy,
      |         ~~~~~         
  244 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  245 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::Array<double, 1, -1, 1, 1, -1>, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::Array<double, 1, -1, 1, 1, -1>, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::Array<double, 1, -1, 1, 1, -1>, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::Array<double, 1, -1, 1, 1, -1>, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate<Eigen::Array<double, 1, -1, 1, 1, -1>, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:179:41:   required from ‘void adelie_core::solver::multiglm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = GlmWrap<adelie_core::glm::GlmMultiBase<double> >; BufferPackType = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  179 |         eta_arr = offsets_arr.rowwise() + beta0;
      |                   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46:   required from ‘adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)> [with auto:144 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)> [with auto:127 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  434 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  278 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  234 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  235 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  236 |         glm_wrap,
      |         ~~~~~~~~~     
  237 |         pb,
      |         ~~~           
  238 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  239 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |         },
      |         ~~            
  243 |         tidy,
      |         ~~~~~         
  244 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  245 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:411:32:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:665:30:   required from ‘adelie_core::solver::gaussian::pin::cov::solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:74, value_t&, value_t, value_t, value_t, value_t, value_t)> [with auto:74 = long unsigned int; value_t = double]’
  665 |             constraint->solve(ak_view, mu, A_kk_view, gk_view, l1, l2, Q_view);
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:240:35:   required from ‘void adelie_core::solver::gaussian::pin::cov::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, UpdateScreenGradType, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; Iter = adelie_core::util::counting_iterator<long unsigned int>; ValueType = double; BufferPackType = GaussianPinCovBufferPack<double, int>; UpdateCoefficientG0Type = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:74, value_t&, value_t, value_t, value_t, value_t, value_t)>; UpdateCoefficientG1Type = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:75, auto:76&, const auto:77&, const auto:78&, auto:79, auto:80, const auto:81&)>; UpdateScreenGradType = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:74, value_t&, value_t, value_t, value_t, value_t, value_t)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:75, auto:76&, const auto:77&, const auto:78&, auto:79, auto:80, const auto:81&)>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:74, value_t&, value_t, value_t, value_t, value_t, value_t)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:75, auto:76&, const auto:77&, const auto:78&, auto:79, auto:80, const auto:81&)>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:68&, auto:69&, const auto:70&, const auto:71&)>; AdditionalStepType = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:74, value_t&, value_t, value_t, value_t, value_t, value_t)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:75, auto:76&, const auto:77&, const auto:78&, auto:79, auto:80, const auto:81&)>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:74, value_t&, value_t, value_t, value_t, value_t, value_t)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:75, auto:76&, const auto:77&, const auto:78&, auto:79, auto:80, const auto:81&)>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:67)>; size_t = long unsigned int]’
  240 |             update_coordinate_g0_f(
      |             ~~~~~~~~~~~~~~~~~~~~~~^
  241 |                 ss_idx, ak, A_kk, gk, l1 * pk, l2 * pk, 1
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |             );
      |             ~                      
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:551:31:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; UpdateCoefficientG0Type = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:74, value_t&, value_t, value_t, value_t, value_t, value_t)>; UpdateCoefficientG1Type = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:75, auto:76&, const auto:77&, const auto:78&, auto:79, auto:80, const auto:81&)>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  551 |             coordinate_descent(
      |             ~~~~~~~~~~~~~~~~~~^
  552 |                 state,
      |                 ~~~~~~         
  553 |                 util::counting_iterator<size_t>(0),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  554 |                 util::counting_iterator<size_t>(screen_set.size()),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  555 |                 l,
      |                 ~~             
  556 |                 convg_measure,
      |                 ~~~~~~~~~~~~~~ 
  557 |                 buffer_pack,
      |                 ~~~~~~~~~~~~   
  558 |                 update_coordinate_g0_f,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  559 |                 update_coordinate_g1_f,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  560 |                 [](auto& state, auto& buffer_pack, const auto& indices, const auto& values) {
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  561 |                     update_screen_grad_screen(state, buffer_pack, indices, values);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  562 |                 },
      |                 ~~             
  563 |                 add_active_set
      |                 ~~~~~~~~~~~~~~ 
  564 |             );
      |             ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:329:77:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:268:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:269:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:269:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:276:59:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:280:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:340:101:   required by substitution of ‘template<class Derived> Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Derived>::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’
  340 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::ScalarTypeMatch),Derived>::type* = 0)
      |                                                                                                     ^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:690:30:   required from ‘adelie_core::solver::gaussian::pin::cov::solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:75, auto:76&, const auto:77&, const auto:78&, auto:79, auto:80, const auto:81&)> [with auto:75 = long unsigned int; auto:76 = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; auto:77 = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; auto:78 = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; auto:79 = double; auto:80 = double; auto:81 = Eigen::Matrix<double, -1, -1, 1, -1, -1>]’
  690 |             constraint->solve(ak, mu, A_kk, gk, l1, l2, Q);
      |             ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:281:35:   required from ‘void adelie_core::solver::gaussian::pin::cov::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, UpdateScreenGradType, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; Iter = adelie_core::util::counting_iterator<long unsigned int>; ValueType = double; BufferPackType = GaussianPinCovBufferPack<double, int>; UpdateCoefficientG0Type = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:74, value_t&, value_t, value_t, value_t, value_t, value_t)>; UpdateCoefficientG1Type = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:75, auto:76&, const auto:77&, const auto:78&, auto:79, auto:80, const auto:81&)>; UpdateScreenGradType = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:74, value_t&, value_t, value_t, value_t, value_t, value_t)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:75, auto:76&, const auto:77&, const auto:78&, auto:79, auto:80, const auto:81&)>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:74, value_t&, value_t, value_t, value_t, value_t, value_t)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:75, auto:76&, const auto:77&, const auto:78&, auto:79, auto:80, const auto:81&)>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:68&, auto:69&, const auto:70&, const auto:71&)>; AdditionalStepType = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:74, value_t&, value_t, value_t, value_t, value_t, value_t)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:75, auto:76&, const auto:77&, const auto:78&, auto:79, auto:80, const auto:81&)>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:74, value_t&, value_t, value_t, value_t, value_t, value_t)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:75, auto:76&, const auto:77&, const auto:78&, auto:79, auto:80, const auto:81&)>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:67)>; size_t = long unsigned int]’
  281 |             update_coordinate_g1_f(
      |             ~~~~~~~~~~~~~~~~~~~~~~^
  282 |                 ss_idx, ak_transformed, A_kk, gk_transformed, l1 * pk, l2 * pk, Vk
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  283 |             );
      |             ~                      
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:551:31:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; UpdateCoefficientG0Type = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:74, value_t&, value_t, value_t, value_t, value_t, value_t)>; UpdateCoefficientG1Type = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:75, auto:76&, const auto:77&, const auto:78&, auto:79, auto:80, const auto:81&)>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  551 |             coordinate_descent(
      |             ~~~~~~~~~~~~~~~~~~^
  552 |                 state,
      |                 ~~~~~~         
  553 |                 util::counting_iterator<size_t>(0),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  554 |                 util::counting_iterator<size_t>(screen_set.size()),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  555 |                 l,
      |                 ~~             
  556 |                 convg_measure,
      |                 ~~~~~~~~~~~~~~ 
  557 |                 buffer_pack,
      |                 ~~~~~~~~~~~~   
  558 |                 update_coordinate_g0_f,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  559 |                 update_coordinate_g1_f,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  560 |                 [](auto& state, auto& buffer_pack, const auto& indices, const auto& values) {
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  561 |                     update_screen_grad_screen(state, buffer_pack, indices, values);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  562 |                 },
      |                 ~~             
  563 |                 add_active_set
      |                 ~~~~~~~~~~~~~~ 
  564 |             );
      |             ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:286:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:286:61:   required from ‘void adelie_core::solver::gaussian::pin::cov::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, UpdateScreenGradType, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; Iter = adelie_core::util::counting_iterator<long unsigned int>; ValueType = double; BufferPackType = GaussianPinCovBufferPack<double, int>; UpdateCoefficientG0Type = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:74, value_t&, value_t, value_t, value_t, value_t, value_t)>; UpdateCoefficientG1Type = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:75, auto:76&, const auto:77&, const auto:78&, auto:79, auto:80, const auto:81&)>; UpdateScreenGradType = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:74, value_t&, value_t, value_t, value_t, value_t, value_t)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:75, auto:76&, const auto:77&, const auto:78&, auto:79, auto:80, const auto:81&)>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:74, value_t&, value_t, value_t, value_t, value_t, value_t)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:75, auto:76&, const auto:77&, const auto:78&, auto:79, auto:80, const auto:81&)>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:68&, auto:69&, const auto:70&, const auto:71&)>; AdditionalStepType = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:74, value_t&, value_t, value_t, value_t, value_t, value_t)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:75, auto:76&, const auto:77&, const auto:78&, auto:79, auto:80, const auto:81&)>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:74, value_t&, value_t, value_t, value_t, value_t, value_t)>, solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:75, auto:76&, const auto:77&, const auto:78&, auto:79, auto:80, const auto:81&)>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:67)>; size_t = long unsigned int]’
  286 |             if ((ak_old_transformed - ak_transformed).matrix().norm() <=
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:551:31:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; UpdateCoefficientG0Type = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:74, value_t&, value_t, value_t, value_t, value_t, value_t)>; UpdateCoefficientG1Type = solve<adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:75, auto:76&, const auto:77&, const auto:78&, auto:79, auto:80, const auto:81&)>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  551 |             coordinate_descent(
      |             ~~~~~~~~~~~~~~~~~~^
  552 |                 state,
      |                 ~~~~~~         
  553 |                 util::counting_iterator<size_t>(0),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  554 |                 util::counting_iterator<size_t>(screen_set.size()),
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  555 |                 l,
      |                 ~~             
  556 |                 convg_measure,
      |                 ~~~~~~~~~~~~~~ 
  557 |                 buffer_pack,
      |                 ~~~~~~~~~~~~   
  558 |                 update_coordinate_g0_f,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  559 |                 update_coordinate_g1_f,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~
  560 |                 [](auto& state, auto& buffer_pack, const auto& indices, const auto& values) {
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  561 |                     update_screen_grad_screen(state, buffer_pack, indices, values);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  562 |                 },
      |                 ~~             
  563 |                 add_active_set
      |                 ~~~~~~~~~~~~~~ 
  564 |             );
      |             ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:297:65:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:297:51:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:301:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  453 |   RealScalar scale = mat.cwiseAbs().maxCoeff();
      |                      ~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26:   required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  129 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  130 |         *state.X,
      |         ~~~~~~~~~         
  131 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  132 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  133 |         state.groups,
      |         ~~~~~~~~~~~~~     
  134 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  135 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  136 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  137 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  138 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  139 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  140 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  141 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  142 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  143 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54:   required from ‘adelie_core::solver::gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:119&, auto:120, auto:121, auto:122)> [with auto:119 = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:120 = double; auto:121 = bool; auto:122 = int]’
  265 |         state::gaussian::naive::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:109&, auto:110&)>; UpdateLossNullType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:111&)>; UpdateInvarianceType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:112&, const auto:113&, auto:114)>; UpdateSolutionsType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:115&, auto:116&, auto:117)>; EarlyExitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:118&)>; ScreenType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:119&, auto:120, auto:121, auto:122)>; FitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:123&, auto:124)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; TidyType = solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  276 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  277 |         state,
      |         ~~~~~~         
  278 |         pb,
      |         ~~~            
  279 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  280 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  281 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  282 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  283 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  284 |         screen_f,
      |         ~~~~~~~~~      
  285 |         fit_f
      |         ~~~~~          
  286 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  300 |     solve(
      |     ~~~~~^
  301 |         state,
      |         ~~~~~~
  302 |         pb,
      |         ~~~
  303 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  304 |         [](){},
      |         ~~~~~~~
  305 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  306 |     );
      |     ~     
rcpp_solver.cpp:68:43:   required from here
   68 |         ad::solver::gaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   69 |             static_cast<state_gaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   70 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~     
   71 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
   72 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26:   required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  129 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  130 |         *state.X,
      |         ~~~~~~~~~         
  131 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  132 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  133 |         state.groups,
      |         ~~~~~~~~~~~~~     
  134 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  135 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  136 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  137 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  138 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  139 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  140 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  141 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  142 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  143 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54:   required from ‘adelie_core::solver::gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:119&, auto:120, auto:121, auto:122)> [with auto:119 = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:120 = double; auto:121 = bool; auto:122 = int]’
  265 |         state::gaussian::naive::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:109&, auto:110&)>; UpdateLossNullType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:111&)>; UpdateInvarianceType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:112&, const auto:113&, auto:114)>; UpdateSolutionsType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:115&, auto:116&, auto:117)>; EarlyExitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:118&)>; ScreenType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:119&, auto:120, auto:121, auto:122)>; FitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:123&, auto:124)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; TidyType = solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  276 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  277 |         state,
      |         ~~~~~~         
  278 |         pb,
      |         ~~~            
  279 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  280 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  281 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  282 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  283 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  284 |         screen_f,
      |         ~~~~~~~~~      
  285 |         fit_f
      |         ~~~~~          
  286 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  300 |     solve(
      |     ~~~~~^
  301 |         state,
      |         ~~~~~~
  302 |         pb,
      |         ~~~
  303 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  304 |         [](){},
      |         ~~~~~~~
  305 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  306 |     );
      |     ~     
rcpp_solver.cpp:68:43:   required from here
   68 |         ad::solver::gaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   69 |             static_cast<state_gaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   70 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~     
   71 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
   72 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26:   required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  129 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  130 |         *state.X,
      |         ~~~~~~~~~         
  131 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  132 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  133 |         state.groups,
      |         ~~~~~~~~~~~~~     
  134 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  135 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  136 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  137 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  138 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  139 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  140 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  141 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  142 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  143 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54:   required from ‘adelie_core::solver::gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:119&, auto:120, auto:121, auto:122)> [with auto:119 = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:120 = double; auto:121 = bool; auto:122 = int]’
  265 |         state::gaussian::naive::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:109&, auto:110&)>; UpdateLossNullType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:111&)>; UpdateInvarianceType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:112&, const auto:113&, auto:114)>; UpdateSolutionsType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:115&, auto:116&, auto:117)>; EarlyExitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:118&)>; ScreenType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:119&, auto:120, auto:121, auto:122)>; FitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:123&, auto:124)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; TidyType = solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  276 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  277 |         state,
      |         ~~~~~~         
  278 |         pb,
      |         ~~~            
  279 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  280 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  281 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  282 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  283 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  284 |         screen_f,
      |         ~~~~~~~~~      
  285 |         fit_f
      |         ~~~~~          
  286 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  300 |     solve(
      |     ~~~~~^
  301 |         state,
      |         ~~~~~~
  302 |         pb,
      |         ~~~
  303 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  304 |         [](){},
      |         ~~~~~~~
  305 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  306 |     );
      |     ~     
rcpp_solver.cpp:68:43:   required from here
   68 |         ad::solver::gaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   69 |             static_cast<state_gaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   70 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~     
   71 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
   72 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  268 |         glm.inv_hessian_gradient(eta, resid, hess, irls_resid);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  234 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  235 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  236 |         glm_wrap,
      |         ~~~~~~~~~     
  237 |         pb,
      |         ~~~           
  238 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  239 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |         },
      |         ~~            
  243 |         tidy,
      |         ~~~~~         
  244 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  245 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  268 |         glm.inv_hessian_gradient(eta, resid, hess, irls_resid);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  234 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  235 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  236 |         glm_wrap,
      |         ~~~~~~~~~     
  237 |         pb,
      |         ~~~           
  238 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  239 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |         },
      |         ~~            
  243 |         tidy,
      |         ~~~~~         
  244 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  245 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:165:21:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  268 |         glm.inv_hessian_gradient(eta, resid, hess, irls_resid);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  234 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  235 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  236 |         glm_wrap,
      |         ~~~~~~~~~     
  237 |         pb,
      |         ~~~           
  238 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  239 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |         },
      |         ~~            
  243 |         tidy,
      |         ~~~~~         
  244 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  245 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  268 |         glm.inv_hessian_gradient(eta, resid, hess, irls_resid);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  234 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  235 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  236 |         glm_wrap,
      |         ~~~~~~~~~     
  237 |         pb,
      |         ~~~           
  238 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  239 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |         },
      |         ~~            
  243 |         tidy,
      |         ~~~~~         
  244 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  245 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  268 |         glm.inv_hessian_gradient(eta, resid, hess, irls_resid);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  234 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  235 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  236 |         glm_wrap,
      |         ~~~~~~~~~     
  237 |         pb,
      |         ~~~           
  238 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  239 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |         },
      |         ~~            
  243 |         tidy,
      |         ~~~~~         
  244 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  245 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:166:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  268 |         glm.inv_hessian_gradient(eta, resid, hess, irls_resid);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  234 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  235 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  236 |         glm_wrap,
      |         ~~~~~~~~~     
  237 |         pb,
      |         ~~~           
  238 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  239 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |         },
      |         ~~            
  243 |         tidy,
      |         ~~~~~         
  244 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  245 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:165:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  268 |         glm.inv_hessian_gradient(eta, resid, hess, irls_resid);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  234 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  235 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  236 |         glm_wrap,
      |         ~~~~~~~~~     
  237 |         pb,
      |         ~~~           
  238 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  239 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |         },
      |         ~~            
  243 |         tidy,
      |         ~~~~~         
  244 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  245 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1, 1, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::Ref<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1, 1, -1, -1> > > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:164:30:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  268 |         glm.inv_hessian_gradient(eta, resid, hess, irls_resid);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  234 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  235 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  236 |         glm_wrap,
      |         ~~~~~~~~~     
  237 |         pb,
      |         ~~~           
  238 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  239 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |         },
      |         ~~            
  243 |         tidy,
      |         ~~~~~         
  244 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  245 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  268 |         glm.inv_hessian_gradient(eta, resid, hess, irls_resid);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  234 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  235 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  236 |         glm_wrap,
      |         ~~~~~~~~~     
  237 |         pb,
      |         ~~~           
  238 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  239 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |         },
      |         ~~            
  243 |         tidy,
      |         ~~~~~         
  244 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  245 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:105:54:   required from ‘void adelie_core::solver::gaussian::pin::update_convergence_measure(ValueType&, const DelType&, const VarType&) [with ValueType = double; DelType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; VarType = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>]’
  105 |     const auto convg_measure_curr = (var * del.square()).sum() / del.size();
      |                                            ~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:292:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:105:42:   required from ‘void adelie_core::solver::gaussian::pin::update_convergence_measure(ValueType&, const DelType&, const VarType&) [with ValueType = double; DelType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; VarType = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>]’
  105 |     const auto convg_measure_curr = (var * del.square()).sum() / del.size();
      |                                     ~~~~~^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:292:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:130:22:   required from ‘void adelie_core::solver::gaussian::pin::update_rsq(ValueType&, const DelType&, const XVarType&, const GradType&) [with ValueType = double; DelType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; XVarType = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; GradType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>]’
  130 |     rsq += (del * (2 * grad - del * x_var)).sum();
      |                    ~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:294:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:130:35:   required from ‘void adelie_core::solver::gaussian::pin::update_rsq(ValueType&, const DelType&, const XVarType&, const GradType&) [with ValueType = double; DelType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; XVarType = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; GradType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>]’
  130 |     rsq += (del * (2 * grad - del * x_var)).sum();
      |                               ~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:294:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:130:29:   required from ‘void adelie_core::solver::gaussian::pin::update_rsq(ValueType&, const DelType&, const XVarType&, const GradType&) [with ValueType = double; DelType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; XVarType = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; GradType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>]’
  130 |     rsq += (del * (2 * grad - del * x_var)).sum();
      |                   ~~~~~~~~~~^~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:294:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:130:17:   required from ‘void adelie_core::solver::gaussian::pin::update_rsq(ValueType&, const DelType&, const XVarType&, const GradType&) [with ValueType = double; DelType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; XVarType = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; GradType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>]’
  130 |     rsq += (del * (2 * grad - del * x_var)).sum();
      |            ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:294:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:224:10:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  221 |     const auto screen_time = Eigen::Map<const util::rowvec_type<double>>(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  222 |         state_gaussian_pin_cov.benchmark_screen.data(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  223 |         state_gaussian_pin_cov.benchmark_screen.size()
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  224 |     ).sum();
      |     ~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:63:52:   required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array<double, 1, -1, 1, 1, -1>; ScreenSetType = std::vector<int>; ScreenHashsetType = std::unordered_set<int>; ScreenBeginsType = std::vector<int>; ScreenBetaType = std::vector<double>; ScreenDualBeginsType = std::vector<int>; ScreenDualType = std::vector<double>; ValueType = double; AbsGradType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
   63 |             abs_grad[i] = common_expr.matrix().norm();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20:   required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; ValueType = double]’
  106 |     update_abs_grad(
      |     ~~~~~~~~~~~~~~~^
  107 |         state.constraints,
      |         ~~~~~~~~~~~~~~~~~~
  108 |         state.groups,
      |         ~~~~~~~~~~~~~
  109 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  110 |         state.penalty,
      |         ~~~~~~~~~~~~~~
  111 |         state.grad,
      |         ~~~~~~~~~~~ 
  112 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~
  113 |         state.screen_hashset,
      |         ~~~~~~~~~~~~~~~~~~~~~
  114 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  115 |         state.screen_beta,
      |         ~~~~~~~~~~~~~~~~~~
  116 |         state.screen_dual_begins,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  117 |         state.screen_dual,
      |         ~~~~~~~~~~~~~~~~~~
  118 |         lmda,
      |         ~~~~~       
  119 |         state.alpha,
      |         ~~~~~~~~~~~~
  120 |         state.abs_grad,
      |         ~~~~~~~~~~~~~~~
  121 |         state.n_threads
      |         ~~~~~~~~~~~~~~~
  122 |     );
      |     ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)> [with auto:85 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:87 = double]’
  285 |         state::update_abs_grad(state, lmda);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  299 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:73:62:   required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array<double, 1, -1, 1, 1, -1>; ScreenSetType = std::vector<int>; ScreenHashsetType = std::unordered_set<int>; ScreenBeginsType = std::vector<int>; ScreenBetaType = std::vector<double>; ScreenDualBeginsType = std::vector<int>; ScreenDualType = std::vector<double>; ValueType = double; AbsGradType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
   73 |             abs_grad[i] = (common_expr - vbuff).matrix().norm();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20:   required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; ValueType = double]’
  106 |     update_abs_grad(
      |     ~~~~~~~~~~~~~~~^
  107 |         state.constraints,
      |         ~~~~~~~~~~~~~~~~~~
  108 |         state.groups,
      |         ~~~~~~~~~~~~~
  109 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  110 |         state.penalty,
      |         ~~~~~~~~~~~~~~
  111 |         state.grad,
      |         ~~~~~~~~~~~ 
  112 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~
  113 |         state.screen_hashset,
      |         ~~~~~~~~~~~~~~~~~~~~~
  114 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  115 |         state.screen_beta,
      |         ~~~~~~~~~~~~~~~~~~
  116 |         state.screen_dual_begins,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  117 |         state.screen_dual,
      |         ~~~~~~~~~~~~~~~~~~
  118 |         lmda,
      |         ~~~~~       
  119 |         state.alpha,
      |         ~~~~~~~~~~~~
  120 |         state.abs_grad,
      |         ~~~~~~~~~~~~~~~
  121 |         state.n_threads
      |         ~~~~~~~~~~~~~~~
  122 |     );
      |     ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)> [with auto:85 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:87 = double]’
  285 |         state::update_abs_grad(state, lmda);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  299 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:83:60:   required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array<double, 1, -1, 1, 1, -1>; ScreenSetType = std::vector<int>; ScreenHashsetType = std::unordered_set<int>; ScreenBeginsType = std::vector<int>; ScreenBetaType = std::vector<double>; ScreenDualBeginsType = std::vector<int>; ScreenDualType = std::vector<double>; ValueType = double; AbsGradType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
   83 |         abs_grad[i] = grad.segment(k, size_k).matrix().norm();
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20:   required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; ValueType = double]’
  106 |     update_abs_grad(
      |     ~~~~~~~~~~~~~~~^
  107 |         state.constraints,
      |         ~~~~~~~~~~~~~~~~~~
  108 |         state.groups,
      |         ~~~~~~~~~~~~~
  109 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  110 |         state.penalty,
      |         ~~~~~~~~~~~~~~
  111 |         state.grad,
      |         ~~~~~~~~~~~ 
  112 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~
  113 |         state.screen_hashset,
      |         ~~~~~~~~~~~~~~~~~~~~~
  114 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  115 |         state.screen_beta,
      |         ~~~~~~~~~~~~~~~~~~
  116 |         state.screen_dual_begins,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  117 |         state.screen_dual,
      |         ~~~~~~~~~~~~~~~~~~
  118 |         lmda,
      |         ~~~~~       
  119 |         state.alpha,
      |         ~~~~~~~~~~~~
  120 |         state.abs_grad,
      |         ~~~~~~~~~~~~~~~
  121 |         state.n_threads
      |         ~~~~~~~~~~~~~~~
  122 |     );
      |     ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)> [with auto:85 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:87 = double]’
  285 |         state::update_abs_grad(state, lmda);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  299 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Matrix<double, -1, 1>; Scalar = double]’
   20 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:463:14:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  463 |   m_eivalues *= scale;
      |   ~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:114:33:   required from ‘void adelie_core::solver::gaussian::pin::naive::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&; Iter = adelie_core::util::counting_iterator<long unsigned int>; ValueType = double; BufferPackType = adelie_core::solver::gaussian::pin::GaussianPinBufferPack<double, int>; UpdateCoefficientG0Type = solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:101, value_t&, value_t, value_t, value_t, value_t, value_t)>; UpdateCoefficientG1Type = solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:102, auto:103&, const auto:104&, const auto:105&, auto:106, auto:107, const auto:108&)>; AdditionalStepType = solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:101, value_t&, value_t, value_t, value_t, value_t, value_t)>, solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:102, auto:103&, const auto:104&, const auto:105&, auto:106, auto:107, const auto:108&)>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:101, value_t&, value_t, value_t, value_t, value_t, value_t)>, solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:102, auto:103&, const auto:104&, const auto:105&, auto:106, auto:107, const auto:108&)>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:98)>; size_t = long unsigned int]’
  114 |                 gk -= resid_sum * Xk_mean;
      |                       ~~~~~~~~~~^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:314:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26:   required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  177 |         pin::naive::solve(
      |         ~~~~~~~~~~~~~~~~~^
  178 |             state_gaussian_pin_naive,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  180 |         );
      |         ~                 
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19:   required from ‘adelie_core::solver::gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:123&, auto:124)> [with auto:123 = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:124 = double]’
  268 |         return fit(
      |                ~~~^
  269 |             state,
      |             ~~~~~~ 
  270 |             buffer_pack,
      |             ~~~~~~~~~~~~
  271 |             lmda,
      |             ~~~~~  
  272 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  273 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:109&, auto:110&)>; UpdateLossNullType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:111&)>; UpdateInvarianceType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:112&, const auto:113&, auto:114)>; UpdateSolutionsType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:115&, auto:116&, auto:117)>; EarlyExitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:118&)>; ScreenType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:119&, auto:120, auto:121, auto:122)>; FitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:123&, auto:124)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; TidyType = solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  276 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  277 |         state,
      |         ~~~~~~         
  278 |         pb,
      |         ~~~            
  279 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  280 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  281 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  282 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  283 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  284 |         screen_f,
      |         ~~~~~~~~~      
  285 |         fit_f
      |         ~~~~~          
  286 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  300 |     solve(
      |     ~~~~~^
  301 |         state,
      |         ~~~~~~
  302 |         pb,
      |         ~~~
  303 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  304 |         [](){},
      |         ~~~~~~~
  305 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  306 |     );
      |     ~     
rcpp_solver.cpp:68:43:   required from here
   68 |         ad::solver::gaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   69 |             static_cast<state_gaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   70 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~     
   71 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
   72 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:151:26:   required from ‘void adelie_core::solver::gaussian::pin::naive::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&; Iter = adelie_core::util::counting_iterator<long unsigned int>; ValueType = double; BufferPackType = adelie_core::solver::gaussian::pin::GaussianPinBufferPack<double, int>; UpdateCoefficientG0Type = solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:101, value_t&, value_t, value_t, value_t, value_t, value_t)>; UpdateCoefficientG1Type = solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:102, auto:103&, const auto:104&, const auto:105&, auto:106, auto:107, const auto:108&)>; AdditionalStepType = solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:101, value_t&, value_t, value_t, value_t, value_t, value_t)>, solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:102, auto:103&, const auto:104&, const auto:105&, auto:106, auto:107, const auto:108&)>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:101, value_t&, value_t, value_t, value_t, value_t, value_t)>, solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:102, auto:103&, const auto:104&, const auto:105&, auto:106, auto:107, const auto:108&)>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:98)>; size_t = long unsigned int]’
  151 |             del = ak_old - ak;
      |                   ~~~~~~~^~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:314:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26:   required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  177 |         pin::naive::solve(
      |         ~~~~~~~~~~~~~~~~~^
  178 |             state_gaussian_pin_naive,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  180 |         );
      |         ~                 
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19:   required from ‘adelie_core::solver::gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:123&, auto:124)> [with auto:123 = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:124 = double]’
  268 |         return fit(
      |                ~~~^
  269 |             state,
      |             ~~~~~~ 
  270 |             buffer_pack,
      |             ~~~~~~~~~~~~
  271 |             lmda,
      |             ~~~~~  
  272 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  273 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:109&, auto:110&)>; UpdateLossNullType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:111&)>; UpdateInvarianceType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:112&, const auto:113&, auto:114)>; UpdateSolutionsType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:115&, auto:116&, auto:117)>; EarlyExitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:118&)>; ScreenType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:119&, auto:120, auto:121, auto:122)>; FitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:123&, auto:124)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; TidyType = solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  276 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  277 |         state,
      |         ~~~~~~         
  278 |         pb,
      |         ~~~            
  279 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  280 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  281 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  282 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  283 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  284 |         screen_f,
      |         ~~~~~~~~~      
  285 |         fit_f
      |         ~~~~~          
  286 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  300 |     solve(
      |     ~~~~~^
  301 |         state,
      |         ~~~~~~
  302 |         pb,
      |         ~~~
  303 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  304 |         [](){},
      |         ~~~~~~~
  305 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  306 |     );
      |     ~     
rcpp_solver.cpp:68:43:   required from here
   68 |         ad::solver::gaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   69 |             static_cast<state_gaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   70 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~     
   71 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
   72 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:30:38:   required from ‘auto adelie_core::bcd::root_lower_bound(const DiagType&, const VType&, ValueType) [with DiagType = Eigen::VectorBlock<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; ValueType = double]’
   30 |     const value_t a = vbuffer1.matrix().squaredNorm();
      |                       ~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:207:47:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:31:34:   required from ‘auto adelie_core::bcd::root_lower_bound(const DiagType&, const VType&, ValueType) [with DiagType = Eigen::VectorBlock<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; ValueType = double]’
   31 |     const value_t v_l1 = v.matrix().template lpNorm<1>();
      |                          ~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:207:47:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:92:20:   required from ‘auto adelie_core::bcd::root_upper_bound(const DiagType&, const VType&, ValueType, ValueType) [with DiagType = Eigen::VectorBlock<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; ValueType = double]’
   92 |         h_max = (v / vbuffer1).matrix().norm();
      |                 ~~~^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:208:48:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:92:38:   required from ‘auto adelie_core::bcd::root_upper_bound(const DiagType&, const VType&, ValueType, ValueType) [with DiagType = Eigen::VectorBlock<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; ValueType = double]’
   92 |         h_max = (v / vbuffer1).matrix().norm();
      |                 ~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:208:48:   required from ‘void adelie_core::bcd::unconstrained::newton_abs_solver(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; ValueType = double; XType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
  208 |         const auto h_max_out = root_upper_bound(vbuffer1, v, l1);
      |                                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:161:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:107:36:   required from ‘auto adelie_core::bcd::root_function(ValueType, const DiagType&, const VType&, ValueType) [with ValueType = double; DiagType = Eigen::VectorBlock<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>]’
  107 |     return (v.array() / (D.array() * h + l1)).matrix().squaredNorm() - 1;
      |                          ~~~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:230:35:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:107:40:   required from ‘auto adelie_core::bcd::root_function(ValueType, const DiagType&, const VType&, ValueType) [with ValueType = double; DiagType = Eigen::VectorBlock<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>]’
  107 |     return (v.array() / (D.array() * h + l1)).matrix().squaredNorm() - 1;
      |                         ~~~~~~~~~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:230:35:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:107:23:   required from ‘auto adelie_core::bcd::root_function(ValueType, const DiagType&, const VType&, ValueType) [with ValueType = double; DiagType = Eigen::VectorBlock<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>]’
  107 |     return (v.array() / (D.array() * h + l1)).matrix().squaredNorm() - 1;
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:230:35:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:107:53:   required from ‘auto adelie_core::bcd::root_function(ValueType, const DiagType&, const VType&, ValueType) [with ValueType = double; DiagType = Eigen::VectorBlock<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>]’
  107 |     return (v.array() / (D.array() * h + l1)).matrix().squaredNorm() - 1;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:230:35:   required from ‘void adelie_core::bcd::unconstrained::newton_abs_solver(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; ValueType = double; XType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
  230 |                 fh = root_function(h_cand, vbuffer1, v, l1);
      |                      ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:161:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:735:21:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:450:24:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >; Derived = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:30:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   86 |         svars.head(D.size()) = D.array() * (D.array() >= 0).template cast<value_t>();
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26:   required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  129 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  130 |         *state.X,
      |         ~~~~~~~~~         
  131 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  132 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  133 |         state.groups,
      |         ~~~~~~~~~~~~~     
  134 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  135 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  136 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  137 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  138 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  139 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  140 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  141 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  142 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  143 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54:   required from ‘adelie_core::solver::gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:119&, auto:120, auto:121, auto:122)> [with auto:119 = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:120 = double; auto:121 = bool; auto:122 = int]’
  265 |         state::gaussian::naive::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:109&, auto:110&)>; UpdateLossNullType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:111&)>; UpdateInvarianceType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:112&, const auto:113&, auto:114)>; UpdateSolutionsType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:115&, auto:116&, auto:117)>; EarlyExitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:118&)>; ScreenType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:119&, auto:120, auto:121, auto:122)>; FitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:123&, auto:124)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; TidyType = solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  276 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  277 |         state,
      |         ~~~~~~         
  278 |         pb,
      |         ~~~            
  279 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  280 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  281 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  282 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  283 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  284 |         screen_f,
      |         ~~~~~~~~~      
  285 |         fit_f
      |         ~~~~~          
  286 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  300 |     solve(
      |     ~~~~~^
  301 |         state,
      |         ~~~~~~
  302 |         pb,
      |         ~~~
  303 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  304 |         [](){},
      |         ~~~~~~~
  305 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  306 |     );
      |     ~     
rcpp_solver.cpp:68:43:   required from here
   68 |         ad::solver::gaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   69 |             static_cast<state_gaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   70 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~     
   71 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
   72 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26:   required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  129 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  130 |         *state.X,
      |         ~~~~~~~~~         
  131 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  132 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  133 |         state.groups,
      |         ~~~~~~~~~~~~~     
  134 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  135 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  136 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  137 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  138 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  139 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  140 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  141 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  142 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  143 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54:   required from ‘adelie_core::solver::gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:119&, auto:120, auto:121, auto:122)> [with auto:119 = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:120 = double; auto:121 = bool; auto:122 = int]’
  265 |         state::gaussian::naive::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:109&, auto:110&)>; UpdateLossNullType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:111&)>; UpdateInvarianceType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:112&, const auto:113&, auto:114)>; UpdateSolutionsType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:115&, auto:116&, auto:117)>; EarlyExitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:118&)>; ScreenType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:119&, auto:120, auto:121, auto:122)>; FitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:123&, auto:124)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; TidyType = solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  276 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  277 |         state,
      |         ~~~~~~         
  278 |         pb,
      |         ~~~            
  279 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  280 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  281 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  282 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  283 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  284 |         screen_f,
      |         ~~~~~~~~~      
  285 |         fit_f
      |         ~~~~~          
  286 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  300 |     solve(
      |     ~~~~~^
  301 |         state,
      |         ~~~~~~
  302 |         pb,
      |         ~~~
  303 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  304 |         [](){},
      |         ~~~~~~~
  305 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  306 |     );
      |     ~     
rcpp_solver.cpp:68:43:   required from here
   68 |         ad::solver::gaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   69 |             static_cast<state_gaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   70 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~     
   71 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
   72 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Array<double, 1, -1, 1, 1, -1>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array<double, 1, -1, 1, 1, -1>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Array<double, 1, -1, 1, 1, -1> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:271:39:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  271 |         const auto hess_sum = hess.sum();
      |                               ~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  502 |     solve(
      |     ~~~~~^
  503 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  507 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         },
      |         ~~
  510 |         [](){},
      |         ~~~~~~~
  511 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  512 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:275:56:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  275 |         const auto y_mean = (irls_weights * irls_y).sum();
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  502 |     solve(
      |     ~~~~~^
  503 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  507 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         },
      |         ~~
  510 |         [](){},
      |         ~~~~~~~
  511 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  512 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:276:64:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  276 |         const auto y_var = (irls_weights * irls_y.square()).sum() - intercept * y_mean * y_mean;
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  502 |     solve(
      |     ~~~~~^
  503 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  507 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         },
      |         ~~
  510 |         [](){},
      |         ~~~~~~~
  511 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  512 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:392:67:   required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  392 |         if (std::abs(((resid - resid_prev) * (eta - eta_prev)).sum()) <= irls_tol * n_active) {
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)> [with auto:139 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:140 = double]’
  467 |         return fit(
      |                ~~~^
  468 |             state,
      |             ~~~~~~ 
  469 |             glm,
      |             ~~~~   
  470 |             buffer_pack,
      |             ~~~~~~~~~~~~
  471 |             lmda,
      |             ~~~~~  
  472 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  473 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  502 |     solve(
      |     ~~~~~^
  503 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  507 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         },
      |         ~~
  510 |         [](){},
      |         ~~~~~~~
  511 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  512 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:30:52:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:107:67:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:67:20:   required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; ValueType = double; XType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; InitialType = newton_abs_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; size_t = long unsigned int]’
   67 |         x = v / (L + l2);
      |                 ~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:245:23:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:67:15:   required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; ValueType = double; XType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; InitialType = newton_abs_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; size_t = long unsigned int]’
   67 |         x = v / (L + l2);
      |             ~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:245:23:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:79:28:   required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; ValueType = double; XType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; InitialType = newton_abs_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; size_t = long unsigned int]’
   79 |         x = (v * vbuffer2).square();
      |             ~~~~~~~~~~~~~~~^~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:245:23:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:79:11:   required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; ValueType = double; XType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; InitialType = newton_abs_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; size_t = long unsigned int]’
   79 |         x = (v * vbuffer2).square();
      |         ~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:245:23:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:83:11:   required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; ValueType = double; XType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; InitialType = newton_abs_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; size_t = long unsigned int]’
   81 |         auto dfh = -2.0 * (
      |                           ~
   82 |             x * vbuffer1 * vbuffer2
      |             ~~~~~~~~~~~~~~~~~~~~~~~
   83 |         ).sum();
      |         ~~^~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:245:23:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:78:22:   required from ‘adelie_core::bcd::unconstrained::newton_solver_base<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, newton_abs_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()> >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, newton_abs_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:56)> [with auto:56 = double]’
   78 |         vbuffer2 = 1 / (vbuffer1 * h + l1);
      |                    ~~^~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/optimization/newton.hpp:47:35:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:101:15:   required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; ValueType = double; XType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; InitialType = newton_abs_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; size_t = long unsigned int]’
  101 |     x = h * v * vbuffer2;
      |         ~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:245:23:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
 1384 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1452:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::internal::IndexBased, double>’
 1452 | struct unary_evaluator<MatrixWrapper<TArgType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:63:52:   required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array<double, 1, -1, 1, 1, -1>; ScreenSetType = std::vector<int>; ScreenHashsetType = std::unordered_set<int>; ScreenBeginsType = std::vector<int>; ScreenBetaType = std::vector<double>; ScreenDualBeginsType = std::vector<int>; ScreenDualType = std::vector<double>; ValueType = double; AbsGradType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
   63 |             abs_grad[i] = common_expr.matrix().norm();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20:   required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; ValueType = double]’
  106 |     update_abs_grad(
      |     ~~~~~~~~~~~~~~~^
  107 |         state.constraints,
      |         ~~~~~~~~~~~~~~~~~~
  108 |         state.groups,
      |         ~~~~~~~~~~~~~
  109 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  110 |         state.penalty,
      |         ~~~~~~~~~~~~~~
  111 |         state.grad,
      |         ~~~~~~~~~~~ 
  112 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~
  113 |         state.screen_hashset,
      |         ~~~~~~~~~~~~~~~~~~~~~
  114 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  115 |         state.screen_beta,
      |         ~~~~~~~~~~~~~~~~~~
  116 |         state.screen_dual_begins,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  117 |         state.screen_dual,
      |         ~~~~~~~~~~~~~~~~~~
  118 |         lmda,
      |         ~~~~~       
  119 |         state.alpha,
      |         ~~~~~~~~~~~~
  120 |         state.abs_grad,
      |         ~~~~~~~~~~~~~~~
  121 |         state.n_threads
      |         ~~~~~~~~~~~~~~~
  122 |     );
      |     ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)> [with auto:85 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:87 = double]’
  285 |         state::update_abs_grad(state, lmda);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  299 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  370 |                                   * (conj(h) * matA.col(i).tail(remainingSize)));
      |                                     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:29:114:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26:   required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  129 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  130 |         *state.X,
      |         ~~~~~~~~~         
  131 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  132 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  133 |         state.groups,
      |         ~~~~~~~~~~~~~     
  134 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  135 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  136 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  137 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  138 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  139 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  140 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  141 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  142 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  143 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54:   required from ‘adelie_core::solver::gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:119&, auto:120, auto:121, auto:122)> [with auto:119 = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:120 = double; auto:121 = bool; auto:122 = int]’
  265 |         state::gaussian::naive::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:109&, auto:110&)>; UpdateLossNullType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:111&)>; UpdateInvarianceType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:112&, const auto:113&, auto:114)>; UpdateSolutionsType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:115&, auto:116&, auto:117)>; EarlyExitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:118&)>; ScreenType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:119&, auto:120, auto:121, auto:122)>; FitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:123&, auto:124)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; TidyType = solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  276 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  277 |         state,
      |         ~~~~~~         
  278 |         pb,
      |         ~~~            
  279 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  280 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  281 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  282 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  283 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  284 |         screen_f,
      |         ~~~~~~~~~      
  285 |         fit_f
      |         ~~~~~          
  286 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  300 |     solve(
      |     ~~~~~^
  301 |         state,
      |         ~~~~~~
  302 |         pb,
      |         ~~~
  303 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  304 |         [](){},
      |         ~~~~~~~
  305 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  306 |     );
      |     ~     
rcpp_solver.cpp:68:43:   required from here
   68 |         ad::solver::gaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   69 |             static_cast<state_gaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   70 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~     
   71 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
   72 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:33:36:   required from ‘static void Eigen::selfadjoint_rank1_update<Scalar, Index, 0, UpLo, ConjLhs, ConjRhs>::run(Index, Scalar*, Index, const Scalar*, const Scalar*, const Scalar&) [with Scalar = double; Index = long int; int UpLo = 1; bool ConjLhs = false; bool ConjRhs = false]’
   33 |           += (alpha * cj(vecY[i])) * ConjLhsType(OtherMap(vecX+(UpLo==Lower ? i : 0),UpLo==Lower ? size-i : (i+1)));
      |              ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26:   required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  129 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  130 |         *state.X,
      |         ~~~~~~~~~         
  131 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  132 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  133 |         state.groups,
      |         ~~~~~~~~~~~~~     
  134 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  135 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  136 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  137 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  138 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  139 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  140 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  141 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  142 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  143 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54:   required from ‘adelie_core::solver::gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:119&, auto:120, auto:121, auto:122)> [with auto:119 = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:120 = double; auto:121 = bool; auto:122 = int]’
  265 |         state::gaussian::naive::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:109&, auto:110&)>; UpdateLossNullType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:111&)>; UpdateInvarianceType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:112&, const auto:113&, auto:114)>; UpdateSolutionsType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:115&, auto:116&, auto:117)>; EarlyExitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:118&)>; ScreenType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:119&, auto:120, auto:121, auto:122)>; FitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:123&, auto:124)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; TidyType = solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  276 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  277 |         state,
      |         ~~~~~~         
  278 |         pb,
      |         ~~~            
  279 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  280 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  281 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  282 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  283 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  284 |         screen_f,
      |         ~~~~~~~~~      
  285 |         fit_f
      |         ~~~~~          
  286 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  300 |     solve(
      |     ~~~~~^
  301 |         state,
      |         ~~~~~~
  302 |         pb,
      |         ~~~
  303 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  304 |         [](){},
      |         ~~~~~~~
  305 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  306 |     );
      |     ~     
rcpp_solver.cpp:68:43:   required from here
   68 |         ad::solver::gaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   69 |             static_cast<state_gaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   70 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~     
   71 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
   72 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, 1, -1, 1, 1, -1>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:142:54:   required from ‘void adelie_core::solver::glm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; GlmType = adelie_core::glm::GlmBase<double>; BufferPackType = GlmNaiveBufferPack<double, int>]’
  142 |         beta0 = (hess * (irls_y + eta - offsets)).sum() / hess_sum;
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:508:29:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)> [with auto:141 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:142 = adelie_core::glm::GlmBase<double>; auto:143 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)> [with auto:127 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  434 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>, solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  278 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; UpdateLossNullType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda(auto:141&, auto:142&, auto:143&)>; TidyType = solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::<lambda()>]’
  502 |     solve(
      |     ~~~~~^
  503 |         std::forward<StateType>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  504 |         std::forward<GlmType>(glm),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~
  505 |         std::forward<PBType>(pb),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  506 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  507 |         [](auto& state, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  508 |             update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         },
      |         ~~
  510 |         [](){},
      |         ~~~~~~~
  511 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  512 |     );
      |     ~     
rcpp_solver.cpp:106:38:   required from here
  106 |         ad::solver::glm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  107 |             static_cast<state_glm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  108 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  109 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~      
  110 |         );
      |         ~                             
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33:   required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Array<double, 1, -1, 1, 1, -1>; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Array<double, 1, -1, 1, 1, -1> >; size_t = long unsigned int]’
   96 |         x1.segment(begin, size) = x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:283:22:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)> [with auto:85 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:87 = double]’
  283 |         matrix::dvveq(grad, v - grad, n_threads);
      |         ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  299 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7:   required from ‘Eigen::MapBase<Derived, 1>::ScalarWithConstIfNotLvalue& Eigen::MapBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’
   15 |       EIGEN_STATIC_ASSERT((int(internal::evaluator<Derived>::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \
      |                                                              ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:25:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  367 |     matA.col(i).coeffRef(i+1) = 1;
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’
  475 |     EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment),
      |                                              ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40:   required from ‘void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’
  315 |   internal::apply_rotation_in_the_plane(x, y, j.transpose());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24:   required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’
  895 |       q.applyOnTheRight(k,k+1,rot);
      |       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87:   required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’
  548 |     internal::tridiagonal_qr_step<MatrixType::Flags&RowMajorBit ? RowMajor : ColMajor>(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  460 |   m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   79 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
      |                                                   ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  123 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  323 |   this->visit(minVisitor);
      |   ~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  496 |       return minCoeff<PropagateFast>(index);
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:181:18:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator-=(const Eigen::ArrayBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Derived = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>]’
  181 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:66:33:   required from ‘void adelie_core::matrix::dvsubi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Array<double, 1, -1, 1, 1, -1>; X2Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’
   66 |         x1.segment(begin, size) -= x2.segment(begin, size);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:243:27:   required from ‘adelie_core::solver::gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:112&, const auto:113&, auto:114)> [with auto:112 = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:113 = adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>; auto:114 = double]’
  243 |             matrix::dvsubi(grad, resid_sum * X_means, n_threads);
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:109&, auto:110&)>; UpdateLossNullType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:111&)>; UpdateInvarianceType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:112&, const auto:113&, auto:114)>; UpdateSolutionsType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:115&, auto:116&, auto:117)>; EarlyExitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:118&)>; ScreenType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:119&, auto:120, auto:121, auto:122)>; FitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:123&, auto:124)>]’
  299 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; TidyType = solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  276 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  277 |         state,
      |         ~~~~~~         
  278 |         pb,
      |         ~~~            
  279 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  280 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  281 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  282 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  283 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  284 |         screen_f,
      |         ~~~~~~~~~      
  285 |         fit_f
      |         ~~~~~          
  286 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  300 |     solve(
      |     ~~~~~^
  301 |         state,
      |         ~~~~~~
  302 |         pb,
      |         ~~~
  303 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  304 |         [](){},
      |         ~~~~~~~
  305 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  306 |     );
      |     ~     
rcpp_solver.cpp:68:43:   required from here
   68 |         ad::solver::gaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   69 |             static_cast<state_gaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   70 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~     
   71 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
   72 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:105:61:   required from ‘void adelie_core::solver::gaussian::pin::update_convergence_measure(ValueType&, const DelType&, const VarType&) [with ValueType = double; DelType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; VarType = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>]’
  105 |     const auto convg_measure_curr = (var * del.square()).sum() / del.size();
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:292:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:130:48:   required from ‘void adelie_core::solver::gaussian::pin::update_rsq(ValueType&, const DelType&, const XVarType&, const GradType&) [with ValueType = double; DelType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; XVarType = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; GradType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>]’
  130 |     rsq += (del * (2 * grad - del * x_var)).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:294:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::SparseVector<double, 1, int>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseVector<double, 1, int>, 0, Eigen::Stride<0, 0> > > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/util/eigen/map_sparsevector.hpp:75:9:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<const Eigen::SparseVector<double, 1, int>, 0, Eigen::Stride<0, 0> > >’
   75 |  struct evaluator<Map<const SparseVector<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:445:22:   required from ‘static void Eigen::internal::sparse_vector_assign_selector<Dest, Src, 1>::run(Dest&, const Src&) [with Dest = Eigen::SparseVector<double, 1, int>; Src = Eigen::Map<const Eigen::SparseVector<double, 1, int>, 0, Eigen::Stride<0, 0> >]’
  445 |     SrcEvaluatorType srcEval(src);
      |                      ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:319:78:   required from ‘Eigen::SparseVector<_Scalar, _Flags, _StorageIndex>& Eigen::SparseVector<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::SparseVector<double, 1, int>, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 1; _StorageIndex = int]’
  319 |       internal::sparse_vector_assign_selector<SparseVector,OtherDerived>::run(tmp,other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:273:13:   required from ‘Eigen::SparseVector<_Scalar, _Flags, _StorageIndex>::SparseVector(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::SparseVector<double, 1, int>, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 1; _StorageIndex = int]’
  273 |       *this = other.derived();
      |       ~~~~~~^~~~~~~~~~~~~~~~~
/usr/include/c++/14/bits/new_allocator.h:191:4:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:63:52:   required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array<double, 1, -1, 1, 1, -1>; ScreenSetType = std::vector<int>; ScreenHashsetType = std::unordered_set<int>; ScreenBeginsType = std::vector<int>; ScreenBetaType = std::vector<double>; ScreenDualBeginsType = std::vector<int>; ScreenDualType = std::vector<double>; ValueType = double; AbsGradType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
   63 |             abs_grad[i] = common_expr.matrix().norm();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20:   required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; ValueType = double]’
  106 |     update_abs_grad(
      |     ~~~~~~~~~~~~~~~^
  107 |         state.constraints,
      |         ~~~~~~~~~~~~~~~~~~
  108 |         state.groups,
      |         ~~~~~~~~~~~~~
  109 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  110 |         state.penalty,
      |         ~~~~~~~~~~~~~~
  111 |         state.grad,
      |         ~~~~~~~~~~~ 
  112 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~
  113 |         state.screen_hashset,
      |         ~~~~~~~~~~~~~~~~~~~~~
  114 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  115 |         state.screen_beta,
      |         ~~~~~~~~~~~~~~~~~~
  116 |         state.screen_dual_begins,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  117 |         state.screen_dual,
      |         ~~~~~~~~~~~~~~~~~~
  118 |         lmda,
      |         ~~~~~       
  119 |         state.alpha,
      |         ~~~~~~~~~~~~
  120 |         state.abs_grad,
      |         ~~~~~~~~~~~~~~~
  121 |         state.n_threads
      |         ~~~~~~~~~~~~~~~
  122 |     );
      |     ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)> [with auto:85 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:87 = double]’
  285 |         state::update_abs_grad(state, lmda);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  299 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:73:62:   required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array<double, 1, -1, 1, 1, -1>; ScreenSetType = std::vector<int>; ScreenHashsetType = std::unordered_set<int>; ScreenBeginsType = std::vector<int>; ScreenBetaType = std::vector<double>; ScreenDualBeginsType = std::vector<int>; ScreenDualType = std::vector<double>; ValueType = double; AbsGradType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
   73 |             abs_grad[i] = (common_expr - vbuff).matrix().norm();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20:   required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; ValueType = double]’
  106 |     update_abs_grad(
      |     ~~~~~~~~~~~~~~~^
  107 |         state.constraints,
      |         ~~~~~~~~~~~~~~~~~~
  108 |         state.groups,
      |         ~~~~~~~~~~~~~
  109 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  110 |         state.penalty,
      |         ~~~~~~~~~~~~~~
  111 |         state.grad,
      |         ~~~~~~~~~~~ 
  112 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~
  113 |         state.screen_hashset,
      |         ~~~~~~~~~~~~~~~~~~~~~
  114 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  115 |         state.screen_beta,
      |         ~~~~~~~~~~~~~~~~~~
  116 |         state.screen_dual_begins,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  117 |         state.screen_dual,
      |         ~~~~~~~~~~~~~~~~~~
  118 |         lmda,
      |         ~~~~~       
  119 |         state.alpha,
      |         ~~~~~~~~~~~~
  120 |         state.abs_grad,
      |         ~~~~~~~~~~~~~~~
  121 |         state.n_threads
      |         ~~~~~~~~~~~~~~~
  122 |     );
      |     ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)> [with auto:85 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:87 = double]’
  285 |         state::update_abs_grad(state, lmda);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  299 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:83:60:   required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array<double, 1, -1, 1, 1, -1>; ScreenSetType = std::vector<int>; ScreenHashsetType = std::unordered_set<int>; ScreenBeginsType = std::vector<int>; ScreenBetaType = std::vector<double>; ScreenDualBeginsType = std::vector<int>; ScreenDualType = std::vector<double>; ValueType = double; AbsGradType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
   83 |         abs_grad[i] = grad.segment(k, size_k).matrix().norm();
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20:   required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; ValueType = double]’
  106 |     update_abs_grad(
      |     ~~~~~~~~~~~~~~~^
  107 |         state.constraints,
      |         ~~~~~~~~~~~~~~~~~~
  108 |         state.groups,
      |         ~~~~~~~~~~~~~
  109 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  110 |         state.penalty,
      |         ~~~~~~~~~~~~~~
  111 |         state.grad,
      |         ~~~~~~~~~~~ 
  112 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~
  113 |         state.screen_hashset,
      |         ~~~~~~~~~~~~~~~~~~~~~
  114 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  115 |         state.screen_beta,
      |         ~~~~~~~~~~~~~~~~~~
  116 |         state.screen_dual_begins,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  117 |         state.screen_dual,
      |         ~~~~~~~~~~~~~~~~~~
  118 |         lmda,
      |         ~~~~~       
  119 |         state.alpha,
      |         ~~~~~~~~~~~~
  120 |         state.abs_grad,
      |         ~~~~~~~~~~~~~~~
  121 |         state.n_threads
      |         ~~~~~~~~~~~~~~~
  122 |     );
      |     ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)> [with auto:85 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>; auto:87 = double]’
  285 |         state::update_abs_grad(state, lmda);
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  299 |         update_invariance_f(state, state_gaussian_pin, large_lmda);
      |         ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  453 |   RealScalar scale = mat.cwiseAbs().maxCoeff();
      |                      ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   93 |     essential = tail / (c0 - beta);
      |                 ~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74:   required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   34 |                         (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i)
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60:   required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   35 |                       + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23:   required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   34 |                         (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i)
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                       + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i);
      |                       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:153:45:   required from ‘void adelie_core::solver::gaussian::pin::naive::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&; Iter = adelie_core::util::counting_iterator<long unsigned int>; ValueType = double; BufferPackType = adelie_core::solver::gaussian::pin::GaussianPinBufferPack<double, int>; UpdateCoefficientG0Type = solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:101, value_t&, value_t, value_t, value_t, value_t, value_t)>; UpdateCoefficientG1Type = solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:102, auto:103&, const auto:104&, const auto:105&, auto:106, auto:107, const auto:108&)>; AdditionalStepType = solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:101, value_t&, value_t, value_t, value_t, value_t, value_t)>, solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:102, auto:103&, const auto:104&, const auto:105&, auto:106, auto:107, const auto:108&)>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:101, value_t&, value_t, value_t, value_t, value_t, value_t)>, solve<adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianPinNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:102, auto:103&, const auto:104&, const auto:105&, auto:106, auto:107, const auto:108&)>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:98)>; size_t = long unsigned int]’
  153 |             resid_sum += (Xk_mean * del).sum();
      |                          ~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:314:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26:   required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  177 |         pin::naive::solve(
      |         ~~~~~~~~~~~~~~~~~^
  178 |             state_gaussian_pin_naive,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~
  179 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  180 |         );
      |         ~                 
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19:   required from ‘adelie_core::solver::gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:123&, auto:124)> [with auto:123 = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:124 = double]’
  268 |         return fit(
      |                ~~~^
  269 |             state,
      |             ~~~~~~ 
  270 |             buffer_pack,
      |             ~~~~~~~~~~~~
  271 |             lmda,
      |             ~~~~~  
  272 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  273 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:109&, auto:110&)>; UpdateLossNullType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:111&)>; UpdateInvarianceType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:112&, const auto:113&, auto:114)>; UpdateSolutionsType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:115&, auto:116&, auto:117)>; EarlyExitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(const auto:118&)>; ScreenType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:119&, auto:120, auto:121, auto:122)>; FitType = gaussian::naive::solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda(auto:123&, auto:124)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; TidyType = solve<adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()> >(adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  276 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  277 |         state,
      |         ~~~~~~         
  278 |         pb,
      |         ~~~            
  279 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  280 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  281 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  282 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  283 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  284 |         screen_f,
      |         ~~~~~~~~~      
  285 |         fit_f
      |         ~~~~~          
  286 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10:   required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::<lambda()>]’
  300 |     solve(
      |     ~~~~~^
  301 |         state,
      |         ~~~~~~
  302 |         pb,
      |         ~~~
  303 |         exit_cond_f,
      |         ~~~~~~~~~~~~
  304 |         [](){},
      |         ~~~~~~~
  305 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  306 |     );
      |     ~     
rcpp_solver.cpp:68:43:   required from here
   68 |         ad::solver::gaussian::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   69 |             static_cast<state_gaussian_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   70 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~     
   71 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
   72 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:29:40:   required from ‘auto adelie_core::bcd::root_lower_bound(const DiagType&, const VType&, ValueType) [with DiagType = Eigen::VectorBlock<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; ValueType = double]’
   29 |     const value_t b = l1 * vbuffer1.sum();
      |                            ~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:207:47:   required from ‘void adelie_core::bcd::unconstrained::newton_abs_solver(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; ValueType = double; XType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; BufferType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’
  207 |         const value_t h_min = root_lower_bound(vbuffer1, v, l1);
      |                               ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:161:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:286:68:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’
  142 |       EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
      |                                                         ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   79 |   Scalar c0 = coeff(0);
      |               ~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  363 |     matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:30:52:   required from ‘auto adelie_core::bcd::root_lower_bound(const DiagType&, const VType&, ValueType) [with DiagType = Eigen::VectorBlock<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>; ValueType = double]’
   30 |     const value_t a = vbuffer1.matrix().squaredNorm();
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:207:47:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:107:67:   required from ‘auto adelie_core::bcd::root_function(ValueType, const DiagType&, const VType&, ValueType) [with ValueType = double; DiagType = Eigen::VectorBlock<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>]’
  107 |     return (v.array() / (D.array() * h + l1)).matrix().squaredNorm() - 1;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:230:35:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:80:24:   required from ‘adelie_core::bcd::unconstrained::newton_solver_base<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, newton_abs_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()> >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, newton_abs_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:56)> [with auto:56 = double]’
   80 |         auto fh = x.sum() - 1.0;
      |                   ~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/optimization/newton.hpp:47:35:   required from ‘auto adelie_core::optimization::newton_root_find(InitialType, StepType, ProjectType, ValueType, size_t) [with InitialType = adelie_core::bcd::unconstrained::newton_abs_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; StepType = adelie_core::bcd::unconstrained::newton_solver_base<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, newton_abs_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()> >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, newton_abs_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:56)>; ProjectType = adelie_core::bcd::unconstrained::newton_solver_base<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, newton_abs_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()> >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, newton_abs_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:57)>; ValueType = double; size_t = long unsigned int]’
   47 |     const auto step_state = step_f(h);
      |                             ~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:91:64:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:83:14:   required from ‘adelie_core::bcd::unconstrained::newton_solver_base<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, newton_abs_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()> >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, newton_abs_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:56)> [with auto:56 = double]’
   81 |         auto dfh = -2.0 * (
      |                           ~
   82 |             x * vbuffer1 * vbuffer2
      |             ~~~~~~~~~~~~~~~~~~~~~~~
   83 |         ).sum();
      |         ~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/optimization/newton.hpp:47:35:   required from ‘auto adelie_core::optimization::newton_root_find(InitialType, StepType, ProjectType, ValueType, size_t) [with InitialType = adelie_core::bcd::unconstrained::newton_abs_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>; StepType = adelie_core::bcd::unconstrained::newton_solver_base<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, newton_abs_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()> >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, newton_abs_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:56)>; ProjectType = adelie_core::bcd::unconstrained::newton_solver_base<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, newton_abs_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()> >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, newton_abs_solver<Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, double, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, double, double, double, size_t, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda()>, Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>&, size_t&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&, Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:57)>; ValueType = double; size_t = long unsigned int]’
   47 |     const auto step_state = step_f(h);
      |                             ~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:91:64:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:31:55:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:92:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:56:38:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   78 |   RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm();
      |                                                       ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 2, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 2, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 2, true> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 2, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 2, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 2, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46:   required from ‘adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)> [with auto:144 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)> [with auto:127 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  434 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  278 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  234 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  235 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  236 |         glm_wrap,
      |         ~~~~~~~~~     
  237 |         pb,
      |         ~~~           
  238 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  239 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |         },
      |         ~~            
  243 |         tidy,
      |         ~~~~~         
  244 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  245 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 2, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 2, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20:   required from ‘PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Eigen::Index = long int]’
  217 |     PanelEvaluator panel_eval(panel);
      |                    ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:790:80:   required from ‘PacketType Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; BinaryOp = Eigen::internal::scalar_quotient_op<double, double>; Lhs = const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>; Rhs = const Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs = Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0>; Eigen::Index = long int]’
  790 |     return m_d.func().packetOp(m_d.lhsImpl.template packet<LoadMode,PacketType>(index),
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Array<double, 1, -1, 1, 1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>, const Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0> > >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
  681 |     m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(index), m_src.template packet<LoadMode,PacketType>(index));
      |                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 3, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>, const Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0> > >, Eigen::internal::assign_op<double, double>, 0>]’
  437 |       kernel.template assignPacket<dstAlignment, srcAlignment, PacketType>(index);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46:   required from ‘adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)> [with auto:144 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)> [with auto:127 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  434 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  278 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  234 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  235 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  236 |         glm_wrap,
      |         ~~~~~~~~~     
  237 |         pb,
      |         ~~~           
  238 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  239 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |         },
      |         ~~            
  243 |         tidy,
      |         ~~~~~         
  244 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  245 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 2, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 2, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 2, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 2, true> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 2, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 2, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46:   required from ‘adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)> [with auto:144 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)> [with auto:127 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  434 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  278 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  234 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  235 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  236 |         glm_wrap,
      |         ~~~~~~~~~     
  237 |         pb,
      |         ~~~           
  238 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  239 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |         },
      |         ~~            
  243 |         tidy,
      |         ~~~~~         
  244 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  245 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 2, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 2, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20:   required from ‘PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Eigen::Index = long int]’
  217 |     PanelEvaluator panel_eval(panel);
      |                    ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:791:80:   required from ‘PacketType Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; BinaryOp = Eigen::internal::scalar_quotient_op<double, double>; Lhs = const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>; Rhs = const Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs = Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0>; Eigen::Index = long int]’
  791 |                                m_d.rhsImpl.template packet<LoadMode,PacketType>(index));
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Array<double, 1, -1, 1, 1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>, const Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0> > >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
  681 |     m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(index), m_src.template packet<LoadMode,PacketType>(index));
      |                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 3, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>, const Eigen::PartialReduxExpr<Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0> > >, Eigen::internal::assign_op<double, double>, 0>]’
  437 |       kernel.template assignPacket<dstAlignment, srcAlignment, PacketType>(index);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46:   required from ‘adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)> [with auto:144 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)> [with auto:127 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  434 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  278 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  234 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  235 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  236 |         glm_wrap,
      |         ~~~~~~~~~     
  237 |         pb,
      |         ~~~           
  238 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  239 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |         },
      |         ~~            
  243 |         tidy,
      |         ~~~~~         
  244 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  245 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 1, -1>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 1, -1>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:337:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7:   required from ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = double]’
  227 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  228 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |       (
      |       ^
  230 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |       );
      |       ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’
  805 |     selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   62 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs,  IsRowMajor), ConjugateRhs> pcj0;
      |                                                                                                                         ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   63 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
      |                                                                                                                         ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46:   required from ‘adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)> [with auto:144 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)> [with auto:127 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  434 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  278 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  234 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  235 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  236 |         glm_wrap,
      |         ~~~~~~~~~     
  237 |         pb,
      |         ~~~           
  238 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  239 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |         },
      |         ~~            
  243 |         tidy,
      |         ~~~~~         
  244 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  245 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46:   required from ‘adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)> [with auto:144 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)> [with auto:127 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  434 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  278 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  234 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  235 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  236 |         glm_wrap,
      |         ~~~~~~~~~     
  237 |         pb,
      |         ~~~           
  238 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  239 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |         },
      |         ~~            
  243 |         tidy,
      |         ~~~~~         
  244 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  245 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:166:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68:   required from ‘static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’
   89 |     Index alignedStart = (starti) + internal::first_default_aligned(&res[starti], endi-starti);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7:   required from ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = double]’
  227 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  228 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |       (
      |       ^
  230 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |       );
      |       ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’
  805 |     selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  500 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  169 |     this->col(0) -= tau * tmp;
      |                     ~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  131 |     this->row(0) -= tau * tmp;
      |                     ~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:333:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
   87 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; Dest = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; typename Dest::Scalar = double]’
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12:   required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’
  206 |     gemv_dense_selector<OnTheRight,OtherStorageOrder,BlasCompatible>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
   91 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; Dest = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; typename Dest::Scalar = double]’
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12:   required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’
  206 |     gemv_dense_selector<OnTheRight,OtherStorageOrder,BlasCompatible>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
   95 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; Dest = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; typename Dest::Scalar = double]’
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12:   required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Dest = Eigen::Matrix<double, 1, -1>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’
  206 |     gemv_dense_selector<OnTheRight,OtherStorageOrder,BlasCompatible>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, 1, -1>; Lhs = Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; Dest = Eigen::Transpose<Eigen::Matrix<double, 1, -1> >; typename Dest::Scalar = double]’
  296 |           dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
      |                            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from ‘static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; bool Big = false]’
  846 |     return m = Derived::Identity(m.rows(), m.cols());
      |                ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from ‘Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Matrix<double, -1, -1>]’
  875 |   return internal::setIdentity_impl<Derived>::run(derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:892:21:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   73 |           triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1);
      |                                                ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46:   required from ‘adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)> [with auto:144 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)> [with auto:127 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  434 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  278 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  234 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  235 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  236 |         glm_wrap,
      |         ~~~~~~~~~     
  237 |         pb,
      |         ~~~           
  238 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  239 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |         },
      |         ~~            
  243 |         tidy,
      |         ~~~~~         
  244 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  245 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Map<const Eigen::Array<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46:   required from ‘adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)> [with auto:144 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack<double, int>]’
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48:   required from ‘adelie_core::solver::glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)> [with auto:127 = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  434 |         if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack);
      |                              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:125&, auto:126&)>; UpdateLossNullType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:127&)>; UpdateInvarianceType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:128&, const auto:129&, auto:130)>; UpdateSolutionsType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:131&, auto:132&, auto:133)>; EarlyExitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(const auto:134&)>; ScreenType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:135&, auto:136, auto:137, auto:138)>; FitType = glm::naive::solve<adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>, adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:139&, auto:140)>]’
  278 |     update_loss_null_f(state);
      |     ~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23:   required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap<adelie_core::glm::GlmMultiBase<double> >&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda(auto:144&, auto:145&, auto:146&)>; TidyType = adelie_core::solver::multiglm::naive::solve<adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()> >(adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&, adelie_core::glm::GlmMultiBase<double>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  476 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  477 |         state,
      |         ~~~~~~         
  478 |         pb,
      |         ~~~            
  479 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  480 |         update_loss_null_wrap_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  481 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  482 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  483 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  484 |         screen_f,
      |         ~~~~~~~~~      
  485 |         fit_f
      |         ~~~~~          
  486 |     );
      |     ~                  
../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22:   required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase<double>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::<lambda()>]’
  234 |     glm::naive::solve(
      |     ~~~~~~~~~~~~~~~~~^
  235 |         static_cast<state_glm_naive_t&>(state),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  236 |         glm_wrap,
      |         ~~~~~~~~~     
  237 |         pb,
      |         ~~~           
  238 |         exit_cond_f,
      |         ~~~~~~~~~~~~  
  239 |         [&](auto&, auto& glm, auto& buffer_pack) {
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  240 |             // ignore casted down state and use derived state
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  241 |             multiglm::naive::update_loss_null(state, glm, buffer_pack);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |         },
      |         ~~            
  243 |         tidy,
      |         ~~~~~         
  244 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  245 |     );
      |     ~                 
rcpp_solver.cpp:181:43:   required from here
  181 |         ad::solver::multiglm::naive::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  182 |             static_cast<state_multiglm_naive_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  183 |             *glm.ptr, pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~           
  185 |         );
      |         ~                                  
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’
  142 |       EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
      |                                                         ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’
  182 |       return coeff(index);
      |              ~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                              ~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10:   required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  694 |     solve(
      |     ~~~~~^
  695 |         state,
      |         ~~~~~~
  696 |         update_coordinate_g0_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  697 |         update_coordinate_g1_f,
      |         ~~~~~~~~~~~~~~~~~~~~~~~
  698 |         check_user_interrupt
      |         ~~~~~~~~~~~~~~~~~~~~
  699 |     );
      |     ~     
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24:   required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; BufferPackType = GaussianCovBufferPack<double, int>; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  209 |         pin::cov::solve(
      |         ~~~~~~~~~~~~~~~^
  210 |             state_gaussian_pin_cov,
      |             ~~~~~~~~~~~~~~~~~~~~~~~
  211 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  212 |         );
      |         ~               
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)> [with auto:96 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:97 = double]’
  307 |         return fit(
      |                ~~~^
  308 |             state,
      |             ~~~~~~ 
  309 |             buffer_pack,
      |             ~~~~~~~~~~~~
  310 |             lmda,
      |             ~~~~~  
  311 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~
  312 |         );
      |         ~          
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  296 |         auto tup = fit_f(state, large_lmda);
      |                    ~~~~~^~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
  280 |     func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:330:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:92:29:   required from ‘struct Eigen::internal::product_triangular_matrix_matrix<double, long int, 5, true, 0, false, 0, false, 0, 1, 0>’
   92 |     SmallPanelWidth   = 2 * EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr),
      |                                                          ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
  357 |   { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’
  194 |             ::run(rhs.transpose(),lhs.transpose(), dstT, alpha);
      |                                   ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 64>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 8, 8, 0, 8, 8>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  150 |     Matrix<Scalar,SmallPanelWidth,SmallPanelWidth,LhsStorageOrder> triangularBuffer(a);
      |                                                                    ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 8>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
  179 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
      |                                                                                 ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  153 |       triangularBuffer.diagonal().setZero();
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  157 |     gebp_kernel<Scalar, Scalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp_kernel;
      |                                                                                                       ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  157 |     gebp_kernel<Scalar, Scalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp_kernel;
      |                                                                                                       ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54:   required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’
  341 |       dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  175 |       pack_rhs(blockB, rhs.getSubMapper(actual_k2,0), actual_kc, cols);
      |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
  357 |   { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  203 |           pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth);
      |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
  357 |   { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  205 |           gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB,
      |           ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  206 |                       actualPanelWidth, actualPanelWidth, cols, alpha,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  207 |                       actualPanelWidth, actual_kc, 0, blockBOffset);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
  357 |   { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77:   required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’
  137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  203 |           pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth);
      |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114:   required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’
  137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’
  327 |     internal::triangular_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  328 |       <Index,Mode,
      |       ~~~~~~~~~~~~
  329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  331 |        RowMajor>
      |        ~~~~~~~~~
  332 |       ::run(actualLhs.rows(),actualLhs.cols(),
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  333 |             actualLhs.data(),actualLhs.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |             actualRhsPtr,1,
      |             ~~~~~~~~~~~~~~~
  335 |             dest.data(),dest.innerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  336 |             actualAlpha);
      |             ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 41 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 39 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52:   required from ‘adelie_core::solver::gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)> [with auto:92 = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’
  304 |         state::gaussian::cov::update_screen_derived(state);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25:   required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; PBAddSuffixType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:82&, auto:83&)>; UpdateLossNullType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:84&)>; UpdateInvarianceType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:85&, const auto:86&, auto:87)>; UpdateSolutionsType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:88&, auto:89&, auto:90)>; EarlyExitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(const auto:91&)>; ScreenType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:92&, auto:93, auto:94, auto:95)>; FitType = gaussian::cov::solve<adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()> >(adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>)::<lambda(auto:96&, auto:97)>]’
  412 |                 screen_f(state, lmda_curr, kkt_passed, n_new_active);
      |                 ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23:   required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues<adelie_core::util::tq::range<int> >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::<lambda()>]’
  315 |     solver::solve_core(
      |     ~~~~~~~~~~~~~~~~~~^
  316 |         state,
      |         ~~~~~~         
  317 |         pb,
      |         ~~~            
  318 |         pb_add_suffix_f,
      |         ~~~~~~~~~~~~~~~~
  319 |         update_loss_null_f,
      |         ~~~~~~~~~~~~~~~~~~~
  320 |         update_invariance_f,
      |         ~~~~~~~~~~~~~~~~~~~~
  321 |         update_solutions_f,
      |         ~~~~~~~~~~~~~~~~~~~
  322 |         early_exit_f,
      |         ~~~~~~~~~~~~~  
  323 |         screen_f,
      |         ~~~~~~~~~      
  324 |         fit_f
      |         ~~~~~          
  325 |     );
      |     ~                  
rcpp_solver.cpp:31:41:   required from here
   31 |         ad::solver::gaussian::cov::solve(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   32 |             static_cast<state_gaussian_cov_64_t&>(state),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             pb, [](){ return false; },
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~   
   34 |             check_user_interrupt
      |             ~~~~~~~~~~~~~~~~~~~~         
   35 |         );
      |         ~                                
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized]
  227 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  228 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |       (
      |       ^
  230 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |       );
      |       ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:41:6: note: by argument 4 of type ‘const double*’ to ‘static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’ declared here
   41 | void selfadjoint_matrix_vector_product<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs,Version>::run(
      |      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:341:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized]
  327 |     internal::triangular_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  328 |       <Index,Mode,
      |       ~~~~~~~~~~~~
  329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  331 |        RowMajor>
      |        ~~~~~~~~~
  332 |       ::run(actualLhs.rows(),actualLhs.cols(),
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  333 |             actualLhs.data(),actualLhs.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |             actualRhsPtr,1,
      |             ~~~~~~~~~~~~~~~
  335 |             dest.data(),dest.innerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  336 |             actualAlpha);
      |             ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double*’ to ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0]’ declared here
  105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product<Index,Mode,LhsScalar,ConjLhs,RhsScalar,ConjRhs,RowMajor,Version>
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS  -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -fopenmp -fpic  -g -O2 -Wall -pedantic -mtune=native  -DR_NO_REMAP -c rcpp_state.cpp -o rcpp_state.o
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:28,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                 from decl.h:3,
                 from rcpp_constraint.h:2,
                 from rcpp_state.cpp:1:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26,
                 from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 1, -1, 1, 1, -1>’
   45 | class Array
      |       ^~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_base.hpp:58:18:   required from ‘class adelie_core::constraint::ConstraintBase<double>’
   58 |     virtual void solve(
      |                  ^~~~~
rcpp_constraint.h:18:9:   required from here
   27 |         if (!ptr) { \
      |              ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, 1, -1, 1, 1, -1>’
   45 | class Array
      |       ^~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_base.hpp:58:18:   required from ‘class adelie_core::constraint::ConstraintBase<double>’
   58 |     virtual void solve(
      |                  ^~~~~
rcpp_constraint.h:18:9:   required from here
   27 |         if (!ptr) { \
      |              ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_base.hpp:58:18:   required from ‘class adelie_core::constraint::ConstraintBase<double>’
   58 |     virtual void solve(
      |                  ^~~~~
rcpp_constraint.h:18:9:   required from here
   27 |         if (!ptr) { \
      |              ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from ‘class Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >’
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:93:1:   required from here
   93 | )
      | ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:329:77:   required from ‘class Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >’
  329 | template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
      |                                                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:237:5:   required from here
  237 |     {
      |     ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from ‘struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   24 |                              ? PlainObjectType::ColsAtCompileTime
      |                                                 ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from ‘class Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_io.h:29:5:   required from here
   29 |     {
      |     ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_io.h:29:5:   required from here
   29 |     {
      |     ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1, 1, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:186:18:   required from ‘class adelie_core::matrix::MatrixNaiveBase<double, int>’
  186 |     virtual void sp_btmul(
      |                  ^~~~~~~~
rcpp_matrix.h:269:34:   required from here
  269 |     int rows() const { return ptr->rows(); }
      |                                  ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >’
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
rcpp_matrix.h:289:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 1>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
rcpp_matrix.h:297:35:   required from here
  297 |         dense_64F_t outT(rows(), v.rows());
      |                                   ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_matrix.h:299:40:   required from here
  299 |         Eigen::Map<rowmat_value_t> out(outT.data(), outT.cols(), outT.rows());
      |                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from ‘class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from ‘class Eigen::Ref<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
rcpp_matrix.h:300:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:26:37:   required from ‘class adelie_core::matrix::MatrixNaiveInteractionDense<Eigen::Matrix<double, -1, -1>, int>’
   26 |     const Eigen::Map<const dense_t> _mat;   // (n, d) underlying matrix
      |                                     ^~~~
rcpp_matrix.h:314:1:   required from here
  315 |     auto groups() const { return dynamic_cast<matrix_naive_interaction_dense_64F_t&>(*ptr).groups(); }
      |                                                                                          ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:225:28:   required from ‘struct adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>’
  225 |     const map_cvec_value_t penalty;
      |                            ^~~~~~~
rcpp_state.h:31:28:   required from here
   31 | class RStateBase64: public state_base_64_t
      |                            ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseVector<double, 1, int> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseVector<double, 1, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:64:7:   required from ‘class Eigen::SparseVector<double, 1, int>’
   64 | class SparseVector
      |       ^~~~~~~~~~~~
rcpp_state.cpp:437:18:   recursively required by substitution of ‘template<class PROP> Rcpp::class_<RStateGaussianCov64>::self& Rcpp::class_<RStateGaussianCov64>::property(const char*, PROP (*)(RStateGaussianCov64*), void (*)(RStateGaussianCov64*, PROP), const char*) [with PROP = <missing>]’
  434 |     Rcpp::class_<r_state_gaussian_cov_64_t>("RStateGaussianCov64")
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  435 |         .derives<state_gaussian_cov_64_t>("StateGaussianCov64")
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  436 |         .factory<Rcpp::List>(make_r_state_gaussian_cov_64)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  437 |         .property("betas", &betas<r_state_gaussian_cov_64_t>, "")
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_state.cpp:437:18:   required from here
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_state.cpp:31:16:   required from ‘auto convert_betas(size_t, const BetasType&) [with BetasType = std::vector<Eigen::SparseVector<double, 1, int>, std::allocator<Eigen::SparseVector<double, 1, int> > >; size_t = long unsigned int]’
   31 |         Eigen::Map<vec_value_t>(
      |                ^~~~~~~~~~~~~~~~~
   32 |             values.data() + inner_idx,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
   33 |             nnz_curr
      |             ~~~~~~~~
   34 |         ) = Eigen::Map<const vec_value_t>(
      |         ~       
rcpp_state.cpp:437:18:   recursively required by substitution of ‘template<class PROP> Rcpp::class_<RStateGaussianCov64>::self& Rcpp::class_<RStateGaussianCov64>::property(const char*, PROP (*)(RStateGaussianCov64*), void (*)(RStateGaussianCov64*, PROP), const char*) [with PROP = <missing>]’
  434 |     Rcpp::class_<r_state_gaussian_cov_64_t>("RStateGaussianCov64")
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  435 |         .derives<state_gaussian_cov_64_t>("StateGaussianCov64")
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  436 |         .factory<Rcpp::List>(make_r_state_gaussian_cov_64)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  437 |         .property("betas", &betas<r_state_gaussian_cov_64_t>, "")
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_state.cpp:437:18:   required from here
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   50 | class SparseMapBase<Derived,ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7:   required from ‘class Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >’
  255 | class Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_state.cpp:49:18:   required from ‘auto convert_betas(size_t, const BetasType&) [with BetasType = std::vector<Eigen::SparseVector<double, 1, int>, std::allocator<Eigen::SparseVector<double, 1, int> > >; size_t = long unsigned int]’
   49 |     out = Eigen::Map<const sp_mat_t>(
      |                  ^~~~~~~~~~~~~~~~~~~~
   50 |         l,
      |         ~~        
   51 |         p,
      |         ~~        
   52 |         nnz,
      |         ~~~~      
   53 |         outers.data(),
      |         ~~~~~~~~~~~~~~
   54 |         inners.data(),
      |         ~~~~~~~~~~~~~~
   55 |         values.data()
      |         ~~~~~~~~~~~~~
   56 |     );
      |     ~             
rcpp_state.cpp:437:18:   recursively required by substitution of ‘template<class PROP> Rcpp::class_<RStateGaussianCov64>::self& Rcpp::class_<RStateGaussianCov64>::property(const char*, PROP (*)(RStateGaussianCov64*), void (*)(RStateGaussianCov64*, PROP), const char*) [with PROP = <missing>]’
  434 |     Rcpp::class_<r_state_gaussian_cov_64_t>("RStateGaussianCov64")
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  435 |         .derives<state_gaussian_cov_64_t>("StateGaussianCov64")
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  436 |         .factory<Rcpp::List>(make_r_state_gaussian_cov_64)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  437 |         .property("betas", &betas<r_state_gaussian_cov_64_t>, "")
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_state.cpp:437:18:   required from here
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
  977 | struct evaluator<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71:   required from ‘struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
 1018 |     Flags = evaluator<Map<PlainObjectType, RefOptions, StrideType> >::Flags,
      |                                                                       ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >]’
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:344:23:   required from ‘std::tuple<long unsigned int, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double> > > > adelie_core::io::IOSNPUnphased<MmapPtrType>::write(const Eigen::Ref<const Eigen::Array<signed char, -1, -1, 0, -1, -1> >&, const std::string&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, size_t) const [with MmapPtrType = std::shared_ptr<char>; std::string = std::__cxx11::basic_string<char>; size_t = long unsigned int]’
  344 |         compute_impute(calldata, impute_method, impute, n_threads);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_io.h:32:41:   required from here
   32 |         return std::get<0>(base_t::write(calldata8, impute_method, impute, n_threads));
      |                            ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:3,
                 from rcpp_io.h:3,
                 from rcpp_matrix.h:4,
                 from rcpp_state.h:3,
                 from rcpp_state.cpp:2:
../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp: In instantiation of ‘std::tuple<long unsigned int, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<const std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, double> > > > adelie_core::io::IOSNPUnphased<MmapPtrType>::write(const Eigen::Ref<const Eigen::Array<signed char, -1, -1, 0, -1, -1> >&, const std::string&, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, size_t) const [with MmapPtrType = std::shared_ptr<char>; std::string = std::__cxx11::basic_string<char>; size_t = long unsigned int]’:
rcpp_io.h:32:41:   required from here
   32 |         return std::get<0>(base_t::write(calldata8, impute_method, impute, n_threads));
      |                            ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:91:43: note:   initializing argument 3 of ‘void adelie_core::io::compute_impute(const Eigen::Ref<const Eigen::Array<signed char, -1, -1, 0, -1, -1> >&, adelie_core::util::impute_method_type, Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, size_t)’
   91 |     Eigen::Ref<util::rowvec_type<double>> impute,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:252:34:   required from ‘adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianNaive(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  252 |         weights_sqrt(weights.sqrt()),
      |                      ~~~~~~~~~~~~^~
rcpp_state.h:47:19:   required from here
   47 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >’
  292 | struct evaluator<Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 1; _StorageIndex = int]’
 1181 |   const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                             ^~~~~
rcpp_state.cpp:49:9:   required from ‘auto convert_betas(size_t, const BetasType&) [with BetasType = std::vector<Eigen::SparseVector<double, 1, int>, std::allocator<Eigen::SparseVector<double, 1, int> > >; size_t = long unsigned int]’
   49 |     out = Eigen::Map<const sp_mat_t>(
      |     ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   50 |         l,
      |         ~~
   51 |         p,
      |         ~~
   52 |         nnz,
      |         ~~~~
   53 |         outers.data(),
      |         ~~~~~~~~~~~~~~
   54 |         inners.data(),
      |         ~~~~~~~~~~~~~~
   55 |         values.data()
      |         ~~~~~~~~~~~~~
   56 |     );
      |     ~    
rcpp_state.cpp:437:18:   recursively required by substitution of ‘template<class PROP> Rcpp::class_<RStateGaussianCov64>::self& Rcpp::class_<RStateGaussianCov64>::property(const char*, PROP (*)(RStateGaussianCov64*), void (*)(RStateGaussianCov64*, PROP), const char*) [with PROP = Eigen::SparseMatrix<double, 1>]’
  434 |     Rcpp::class_<r_state_gaussian_cov_64_t>("RStateGaussianCov64")
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  435 |         .derives<state_gaussian_cov_64_t>("StateGaussianCov64")
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  436 |         .factory<Rcpp::List>(make_r_state_gaussian_cov_64)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  437 |         .property("betas", &betas<r_state_gaussian_cov_64_t>, "")
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_state.cpp:437:18:   required from here
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:62:48:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   62 |         Eigen::Map<util::colmat_type<value_t>> A_gg(
      |                                                ^~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, 1, 0, 1, 1>’
  178 | class Matrix
      |       ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:70:46:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   70 |             util::colmat_type<value_t, 1, 1> Q;
      |                                              ^
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, 1, 0, 1, 1>’
  178 | class Matrix
      |       ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:70:46:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   70 |             util::colmat_type<value_t, 1, 1> Q;
      |                                              ^
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from ‘class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >’
   92 |             >::type DiagonalReturnType;
      |                     ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >’
  111 |     typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
      |                                                              ^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from ‘class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >’
   97 |             >::type SubDiagonalReturnType;
      |                     ^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >’
  111 |     typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
      |                                                              ^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128:   required from ‘class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >’
  100 |     typedef HouseholderSequence<MatrixType,typename internal::remove_all<typename CoeffVectorType::ConjugateReturnType>::type> HouseholderSequenceType;
      |                                                                                                                                ^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >’
  111 |     typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
      |                                                              ^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:19:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   86 |         svars.head(D.size()) = D.array() * (D.array() >= 0).template cast<value_t>();
      |         ~~~~~~~~~~^~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:39:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   86 |         svars.head(D.size()) = D.array() * (D.array() >= 0).template cast<value_t>();
      |                                ~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:55:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   86 |         svars.head(D.size()) = D.array() * (D.array() >= 0).template cast<value_t>();
      |                                            ~~~~~~~~~~~^~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   required from ‘struct Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >::CastXpr<double>’
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:83:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   86 |         svars.head(D.size()) = D.array() * (D.array() >= 0).template cast<value_t>();
      |                                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:42:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   86 |         svars.head(D.size()) = D.array() * (D.array() >= 0).template cast<value_t>();
      |                                ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Array<double, 1, -1, 1, 1, -1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:98:25:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   98 |         ) = grad.segment(g, gs);
      |             ~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:56:35:   required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase<double, int>; XMType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array<double, 1, -1, 1, 1, -1>; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; SSType = std::vector<int>; SBType = std::vector<int>; SXMType = std::vector<double>; STType = std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >; SVType = std::vector<double>; size_t = long unsigned int]’
   56 |         Xi_means = X_means.segment(g, gs);
      |                    ~~~~~~~~~~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26:   required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  129 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  130 |         *state.X,
      |         ~~~~~~~~~         
  131 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  132 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  133 |         state.groups,
      |         ~~~~~~~~~~~~~     
  134 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  135 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  136 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  137 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  138 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  139 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  140 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  141 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  142 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  143 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47:   required from ‘adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianNaive(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  270 |         gaussian::naive::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:47:19:   required from here
   47 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:71:51:   required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase<double, int>; XMType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array<double, 1, -1, 1, 1, -1>; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; SSType = std::vector<int>; SBType = std::vector<int>; SXMType = std::vector<double>; STType = std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >; SVType = std::vector<double>; size_t = long unsigned int]’
   71 |             XiTXi_lower.rankUpdate(Xi_means.matrix().transpose(), -1);
      |                                    ~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26:   required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  129 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  130 |         *state.X,
      |         ~~~~~~~~~         
  131 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  132 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  133 |         state.groups,
      |         ~~~~~~~~~~~~~     
  134 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  135 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  136 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  137 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  138 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  139 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  140 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  141 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  142 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  143 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47:   required from ‘adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianNaive(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  270 |         gaussian::naive::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:47:19:   required from here
   47 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:71:63:   required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase<double, int>; XMType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array<double, 1, -1, 1, 1, -1>; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; SSType = std::vector<int>; SBType = std::vector<int>; SXMType = std::vector<double>; STType = std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >; SVType = std::vector<double>; size_t = long unsigned int]’
   71 |             XiTXi_lower.rankUpdate(Xi_means.matrix().transpose(), -1);
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26:   required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  129 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  130 |         *state.X,
      |         ~~~~~~~~~         
  131 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  132 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  133 |         state.groups,
      |         ~~~~~~~~~~~~~     
  134 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  135 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  136 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  137 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  138 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  139 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  140 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  141 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  142 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  143 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47:   required from ‘adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianNaive(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  270 |         gaussian::naive::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:47:19:   required from here
   47 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:72:76:   required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase<double, int>; XMType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array<double, 1, -1, 1, 1, -1>; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; SSType = std::vector<int>; SBType = std::vector<int>; SXMType = std::vector<double>; STType = std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >; SVType = std::vector<double>; size_t = long unsigned int]’
   72 |             XiTXi.template triangularView<Eigen::Upper>() = XiTXi.transpose();
      |                                                             ~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26:   required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  129 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  130 |         *state.X,
      |         ~~~~~~~~~         
  131 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  132 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  133 |         state.groups,
      |         ~~~~~~~~~~~~~     
  134 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  135 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  136 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  137 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  138 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  139 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  140 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  141 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  142 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  143 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47:   required from ‘adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianNaive(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  270 |         gaussian::naive::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:47:19:   required from here
   47 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Array<double, 1, -1, 1, 1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Array<double, 1, -1, 1, 1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, 1, -1, 1, 1, -1>; Src = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Func = assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:371:41:   required from ‘void Eigen::Ref<const TPlainObjectType, Options, StrideType>::construct(const Expression&, Eigen::internal::false_type) [with Expression = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array<double, 1, -1, 1, 1, -1>; int Options = 0; StrideType = Eigen::InnerStride<1>]’
  371 |       internal::call_assignment_no_alias(m_object,expr,internal::assign_op<Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:364:18:   required from ‘void Eigen::Ref<const TPlainObjectType, Options, StrideType>::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array<double, 1, -1, 1, 1, -1>; int Options = 0; StrideType = Eigen::InnerStride<1>]’
  364 |         construct(expr, internal::false_type());
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:345:16:   required from ‘Eigen::Ref<const TPlainObjectType, Options, StrideType>::Ref(const Eigen::DenseBase<OtherDerived>&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<const TPlainObjectType, Options, StrideType> >::match<Derived>::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array<double, 1, -1, 1, 1, -1>; int Options = 0; StrideType = Eigen::InnerStride<1>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits<Eigen::Ref<const TPlainObjectType, Options, StrideType> >::match<Derived>::ScalarTypeMatch), Derived>::type = Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<Eigen::Ref<const TPlainObjectType, Options, StrideType> >::match<Derived> = Eigen::internal::traits<Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
  345 |       construct(expr.derived(), typename Traits::template match<Derived>::type());
      |       ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_matrix.h:252:17:   required from here
   30 |         return ptr->name(__VA_ARGS__); \
      |                ~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:60:66:   required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array<double, 1, -1, 1, 1, -1>; ScreenSetType = std::vector<int>; ScreenHashsetType = std::unordered_set<int>; ScreenBeginsType = std::vector<int>; ScreenBetaType = std::vector<double>; ScreenDualBeginsType = std::vector<int>; ScreenDualType = std::vector<double>; ValueType = double; AbsGradType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
   60 |         const auto common_expr = grad.segment(k, size_k) - regul * sbeta;
      |                                                            ~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20:   required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; ValueType = double]’
  106 |     update_abs_grad(
      |     ~~~~~~~~~~~~~~~^
  107 |         state.constraints,
      |         ~~~~~~~~~~~~~~~~~~
  108 |         state.groups,
      |         ~~~~~~~~~~~~~
  109 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  110 |         state.penalty,
      |         ~~~~~~~~~~~~~~
  111 |         state.grad,
      |         ~~~~~~~~~~~ 
  112 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~
  113 |         state.screen_hashset,
      |         ~~~~~~~~~~~~~~~~~~~~~
  114 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  115 |         state.screen_beta,
      |         ~~~~~~~~~~~~~~~~~~
  116 |         state.screen_dual_begins,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  117 |         state.screen_dual,
      |         ~~~~~~~~~~~~~~~~~~
  118 |         lmda,
      |         ~~~~~       
  119 |         state.alpha,
      |         ~~~~~~~~~~~~
  120 |         state.abs_grad,
      |         ~~~~~~~~~~~~~~~
  121 |         state.n_threads
      |         ~~~~~~~~~~~~~~~
  122 |     );
      |     ~               
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24:   required from ‘adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<BoolType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename Eigen::internal::conditional<const Eigen::Array<BoolType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  436 |         update_abs_grad(*this, lmda);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  232 |         rsq(rsq)
      |                ^
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:60:66:   required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array<double, 1, -1, 1, 1, -1>; ScreenSetType = std::vector<int>; ScreenHashsetType = std::unordered_set<int>; ScreenBeginsType = std::vector<int>; ScreenBetaType = std::vector<double>; ScreenDualBeginsType = std::vector<int>; ScreenDualType = std::vector<double>; ValueType = double; AbsGradType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
   60 |         const auto common_expr = grad.segment(k, size_k) - regul * sbeta;
      |                                                            ~~~~~~^~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20:   required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; ValueType = double]’
  106 |     update_abs_grad(
      |     ~~~~~~~~~~~~~~~^
  107 |         state.constraints,
      |         ~~~~~~~~~~~~~~~~~~
  108 |         state.groups,
      |         ~~~~~~~~~~~~~
  109 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  110 |         state.penalty,
      |         ~~~~~~~~~~~~~~
  111 |         state.grad,
      |         ~~~~~~~~~~~ 
  112 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~
  113 |         state.screen_hashset,
      |         ~~~~~~~~~~~~~~~~~~~~~
  114 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  115 |         state.screen_beta,
      |         ~~~~~~~~~~~~~~~~~~
  116 |         state.screen_dual_begins,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  117 |         state.screen_dual,
      |         ~~~~~~~~~~~~~~~~~~
  118 |         lmda,
      |         ~~~~~       
  119 |         state.alpha,
      |         ~~~~~~~~~~~~
  120 |         state.abs_grad,
      |         ~~~~~~~~~~~~~~~
  121 |         state.n_threads
      |         ~~~~~~~~~~~~~~~
  122 |     );
      |     ~               
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24:   required from ‘adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<BoolType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename Eigen::internal::conditional<const Eigen::Array<BoolType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  436 |         update_abs_grad(*this, lmda);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  232 |         rsq(rsq)
      |                ^
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:60:58:   required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array<double, 1, -1, 1, 1, -1>; ScreenSetType = std::vector<int>; ScreenHashsetType = std::unordered_set<int>; ScreenBeginsType = std::vector<int>; ScreenBetaType = std::vector<double>; ScreenDualBeginsType = std::vector<int>; ScreenDualType = std::vector<double>; ValueType = double; AbsGradType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
   60 |         const auto common_expr = grad.segment(k, size_k) - regul * sbeta;
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20:   required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; ValueType = double]’
  106 |     update_abs_grad(
      |     ~~~~~~~~~~~~~~~^
  107 |         state.constraints,
      |         ~~~~~~~~~~~~~~~~~~
  108 |         state.groups,
      |         ~~~~~~~~~~~~~
  109 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  110 |         state.penalty,
      |         ~~~~~~~~~~~~~~
  111 |         state.grad,
      |         ~~~~~~~~~~~ 
  112 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~
  113 |         state.screen_hashset,
      |         ~~~~~~~~~~~~~~~~~~~~~
  114 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  115 |         state.screen_beta,
      |         ~~~~~~~~~~~~~~~~~~
  116 |         state.screen_dual_begins,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  117 |         state.screen_dual,
      |         ~~~~~~~~~~~~~~~~~~
  118 |         lmda,
      |         ~~~~~       
  119 |         state.alpha,
      |         ~~~~~~~~~~~~
  120 |         state.abs_grad,
      |         ~~~~~~~~~~~~~~~
  121 |         state.n_threads
      |         ~~~~~~~~~~~~~~~
  122 |     );
      |     ~               
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24:   required from ‘adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<BoolType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename Eigen::internal::conditional<const Eigen::Array<BoolType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  436 |         update_abs_grad(*this, lmda);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  232 |         rsq(rsq)
      |                ^
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:63:45:   required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array<double, 1, -1, 1, 1, -1>; ScreenSetType = std::vector<int>; ScreenHashsetType = std::unordered_set<int>; ScreenBeginsType = std::vector<int>; ScreenBetaType = std::vector<double>; ScreenDualBeginsType = std::vector<int>; ScreenDualType = std::vector<double>; ValueType = double; AbsGradType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
   63 |             abs_grad[i] = common_expr.matrix().norm();
      |                           ~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20:   required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; ValueType = double]’
  106 |     update_abs_grad(
      |     ~~~~~~~~~~~~~~~^
  107 |         state.constraints,
      |         ~~~~~~~~~~~~~~~~~~
  108 |         state.groups,
      |         ~~~~~~~~~~~~~
  109 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  110 |         state.penalty,
      |         ~~~~~~~~~~~~~~
  111 |         state.grad,
      |         ~~~~~~~~~~~ 
  112 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~
  113 |         state.screen_hashset,
      |         ~~~~~~~~~~~~~~~~~~~~~
  114 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  115 |         state.screen_beta,
      |         ~~~~~~~~~~~~~~~~~~
  116 |         state.screen_dual_begins,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  117 |         state.screen_dual,
      |         ~~~~~~~~~~~~~~~~~~
  118 |         lmda,
      |         ~~~~~       
  119 |         state.alpha,
      |         ~~~~~~~~~~~~
  120 |         state.abs_grad,
      |         ~~~~~~~~~~~~~~~
  121 |         state.n_threads
      |         ~~~~~~~~~~~~~~~
  122 |     );
      |     ~               
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24:   required from ‘adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<BoolType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename Eigen::internal::conditional<const Eigen::Array<BoolType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  436 |         update_abs_grad(*this, lmda);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  232 |         rsq(rsq)
      |                ^
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Array<double, 1, -1, 1, 1, -1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:66:35:   required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array<double, 1, -1, 1, 1, -1>; ScreenSetType = std::vector<int>; ScreenHashsetType = std::unordered_set<int>; ScreenBeginsType = std::vector<int>; ScreenBetaType = std::vector<double>; ScreenDualBeginsType = std::vector<int>; ScreenDualType = std::vector<double>; ValueType = double; AbsGradType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
   66 |             auto vbuff = buff.head(size_k);
      |                          ~~~~~~~~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20:   required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; ValueType = double]’
  106 |     update_abs_grad(
      |     ~~~~~~~~~~~~~~~^
  107 |         state.constraints,
      |         ~~~~~~~~~~~~~~~~~~
  108 |         state.groups,
      |         ~~~~~~~~~~~~~
  109 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  110 |         state.penalty,
      |         ~~~~~~~~~~~~~~
  111 |         state.grad,
      |         ~~~~~~~~~~~ 
  112 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~
  113 |         state.screen_hashset,
      |         ~~~~~~~~~~~~~~~~~~~~~
  114 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  115 |         state.screen_beta,
      |         ~~~~~~~~~~~~~~~~~~
  116 |         state.screen_dual_begins,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  117 |         state.screen_dual,
      |         ~~~~~~~~~~~~~~~~~~
  118 |         lmda,
      |         ~~~~~       
  119 |         state.alpha,
      |         ~~~~~~~~~~~~
  120 |         state.abs_grad,
      |         ~~~~~~~~~~~~~~~
  121 |         state.n_threads
      |         ~~~~~~~~~~~~~~~
  122 |     );
      |     ~               
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24:   required from ‘adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<BoolType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename Eigen::internal::conditional<const Eigen::Array<BoolType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  436 |         update_abs_grad(*this, lmda);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  232 |         rsq(rsq)
      |                ^
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>]’
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:72:33:   required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array<double, 1, -1, 1, 1, -1>; ScreenSetType = std::vector<int>; ScreenHashsetType = std::unordered_set<int>; ScreenBeginsType = std::vector<int>; ScreenBetaType = std::vector<double>; ScreenDualBeginsType = std::vector<int>; ScreenDualType = std::vector<double>; ValueType = double; AbsGradType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
   72 |             constraint->gradient(sbeta, mu, vbuff);
      |             ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20:   required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; ValueType = double]’
  106 |     update_abs_grad(
      |     ~~~~~~~~~~~~~~~^
  107 |         state.constraints,
      |         ~~~~~~~~~~~~~~~~~~
  108 |         state.groups,
      |         ~~~~~~~~~~~~~
  109 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  110 |         state.penalty,
      |         ~~~~~~~~~~~~~~
  111 |         state.grad,
      |         ~~~~~~~~~~~ 
  112 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~
  113 |         state.screen_hashset,
      |         ~~~~~~~~~~~~~~~~~~~~~
  114 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  115 |         state.screen_beta,
      |         ~~~~~~~~~~~~~~~~~~
  116 |         state.screen_dual_begins,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  117 |         state.screen_dual,
      |         ~~~~~~~~~~~~~~~~~~
  118 |         lmda,
      |         ~~~~~       
  119 |         state.alpha,
      |         ~~~~~~~~~~~~
  120 |         state.abs_grad,
      |         ~~~~~~~~~~~~~~~
  121 |         state.n_threads
      |         ~~~~~~~~~~~~~~~
  122 |     );
      |     ~               
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24:   required from ‘adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<BoolType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename Eigen::internal::conditional<const Eigen::Array<BoolType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  436 |         update_abs_grad(*this, lmda);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  232 |         rsq(rsq)
      |                ^
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:73:40:   required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array<double, 1, -1, 1, 1, -1>; ScreenSetType = std::vector<int>; ScreenHashsetType = std::unordered_set<int>; ScreenBeginsType = std::vector<int>; ScreenBetaType = std::vector<double>; ScreenDualBeginsType = std::vector<int>; ScreenDualType = std::vector<double>; ValueType = double; AbsGradType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
   73 |             abs_grad[i] = (common_expr - vbuff).matrix().norm();
      |                           ~~~~~~~~~~~~~^~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20:   required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; ValueType = double]’
  106 |     update_abs_grad(
      |     ~~~~~~~~~~~~~~~^
  107 |         state.constraints,
      |         ~~~~~~~~~~~~~~~~~~
  108 |         state.groups,
      |         ~~~~~~~~~~~~~
  109 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  110 |         state.penalty,
      |         ~~~~~~~~~~~~~~
  111 |         state.grad,
      |         ~~~~~~~~~~~ 
  112 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~
  113 |         state.screen_hashset,
      |         ~~~~~~~~~~~~~~~~~~~~~
  114 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  115 |         state.screen_beta,
      |         ~~~~~~~~~~~~~~~~~~
  116 |         state.screen_dual_begins,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  117 |         state.screen_dual,
      |         ~~~~~~~~~~~~~~~~~~
  118 |         lmda,
      |         ~~~~~       
  119 |         state.alpha,
      |         ~~~~~~~~~~~~
  120 |         state.abs_grad,
      |         ~~~~~~~~~~~~~~~
  121 |         state.n_threads
      |         ~~~~~~~~~~~~~~~
  122 |     );
      |     ~               
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24:   required from ‘adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<BoolType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename Eigen::internal::conditional<const Eigen::Array<BoolType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  436 |         update_abs_grad(*this, lmda);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  232 |         rsq(rsq)
      |                ^
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:73:55:   required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array<double, 1, -1, 1, 1, -1>; ScreenSetType = std::vector<int>; ScreenHashsetType = std::unordered_set<int>; ScreenBeginsType = std::vector<int>; ScreenBetaType = std::vector<double>; ScreenDualBeginsType = std::vector<int>; ScreenDualType = std::vector<double>; ValueType = double; AbsGradType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
   73 |             abs_grad[i] = (common_expr - vbuff).matrix().norm();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20:   required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; ValueType = double]’
  106 |     update_abs_grad(
      |     ~~~~~~~~~~~~~~~^
  107 |         state.constraints,
      |         ~~~~~~~~~~~~~~~~~~
  108 |         state.groups,
      |         ~~~~~~~~~~~~~
  109 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  110 |         state.penalty,
      |         ~~~~~~~~~~~~~~
  111 |         state.grad,
      |         ~~~~~~~~~~~ 
  112 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~
  113 |         state.screen_hashset,
      |         ~~~~~~~~~~~~~~~~~~~~~
  114 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  115 |         state.screen_beta,
      |         ~~~~~~~~~~~~~~~~~~
  116 |         state.screen_dual_begins,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  117 |         state.screen_dual,
      |         ~~~~~~~~~~~~~~~~~~
  118 |         lmda,
      |         ~~~~~       
  119 |         state.alpha,
      |         ~~~~~~~~~~~~
  120 |         state.abs_grad,
      |         ~~~~~~~~~~~~~~~
  121 |         state.n_threads
      |         ~~~~~~~~~~~~~~~
  122 |     );
      |     ~               
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24:   required from ‘adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<BoolType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename Eigen::internal::conditional<const Eigen::Array<BoolType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  436 |         update_abs_grad(*this, lmda);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  232 |         rsq(rsq)
      |                ^
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:83:53:   required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array<double, 1, -1, 1, 1, -1>; ScreenSetType = std::vector<int>; ScreenHashsetType = std::unordered_set<int>; ScreenBeginsType = std::vector<int>; ScreenBetaType = std::vector<double>; ScreenDualBeginsType = std::vector<int>; ScreenDualType = std::vector<double>; ValueType = double; AbsGradType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
   83 |         abs_grad[i] = grad.segment(k, size_k).matrix().norm();
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20:   required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; ValueType = double]’
  106 |     update_abs_grad(
      |     ~~~~~~~~~~~~~~~^
  107 |         state.constraints,
      |         ~~~~~~~~~~~~~~~~~~
  108 |         state.groups,
      |         ~~~~~~~~~~~~~
  109 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  110 |         state.penalty,
      |         ~~~~~~~~~~~~~~
  111 |         state.grad,
      |         ~~~~~~~~~~~ 
  112 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~
  113 |         state.screen_hashset,
      |         ~~~~~~~~~~~~~~~~~~~~~
  114 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  115 |         state.screen_beta,
      |         ~~~~~~~~~~~~~~~~~~
  116 |         state.screen_dual_begins,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  117 |         state.screen_dual,
      |         ~~~~~~~~~~~~~~~~~~
  118 |         lmda,
      |         ~~~~~       
  119 |         state.alpha,
      |         ~~~~~~~~~~~~
  120 |         state.abs_grad,
      |         ~~~~~~~~~~~~~~~
  121 |         state.n_threads
      |         ~~~~~~~~~~~~~~~
  122 |     );
      |     ~               
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24:   required from ‘adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<BoolType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename Eigen::internal::conditional<const Eigen::Array<BoolType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  436 |         update_abs_grad(*this, lmda);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  232 |         rsq(rsq)
      |                ^
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  453 |   RealScalar scale = mat.cwiseAbs().maxCoeff();
      |                      ~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1> > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1> >’
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:79:45:   required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix<double, 1>; SrcXprType = Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >]’
   79 |   const bool transpose = (DstEvaluatorType::Flags & RowMajorBit) != (SrcEvaluatorType::Flags & RowMajorBit);
      |                                             ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::SparseMatrix<double, 1>; SrcXprType = Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’
  132 |     assign_sparse_to_sparse(dst.derived(), src.derived());
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16:   required from ‘Derived& Eigen::SparseMatrixBase<Derived>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::SparseMatrix<double, 1>]’
   37 |   internal::Assignment<Derived,OtherDerived,internal::assign_op<Scalar,typename OtherDerived::Scalar> >
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |           ::run(derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |           ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 1; _StorageIndex = int]’
 1239 |     return Base::operator=(other.derived());
      |            ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
rcpp_state.cpp:49:9:   required from ‘auto convert_betas(size_t, const BetasType&) [with BetasType = std::vector<Eigen::SparseVector<double, 1, int>, std::allocator<Eigen::SparseVector<double, 1, int> > >; size_t = long unsigned int]’
   49 |     out = Eigen::Map<const sp_mat_t>(
      |     ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   50 |         l,
      |         ~~
   51 |         p,
      |         ~~
   52 |         nnz,
      |         ~~~~
   53 |         outers.data(),
      |         ~~~~~~~~~~~~~~
   54 |         inners.data(),
      |         ~~~~~~~~~~~~~~
   55 |         values.data()
      |         ~~~~~~~~~~~~~
   56 |     );
      |     ~    
rcpp_state.cpp:437:18:   recursively required by substitution of ‘template<class PROP> Rcpp::class_<RStateGaussianCov64>::self& Rcpp::class_<RStateGaussianCov64>::property(const char*, PROP (*)(RStateGaussianCov64*), void (*)(RStateGaussianCov64*, PROP), const char*) [with PROP = Eigen::SparseMatrix<double, 1>]’
  434 |     Rcpp::class_<r_state_gaussian_cov_64_t>("RStateGaussianCov64")
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  435 |         .derives<state_gaussian_cov_64_t>("StateGaussianCov64")
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  436 |         .factory<Rcpp::List>(make_r_state_gaussian_cov_64)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  437 |         .property("betas", &betas<r_state_gaussian_cov_64_t>, "")
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_state.cpp:437:18:   required from here
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143:   required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator/=(const typename Eigen::internal::traits<T>::Scalar&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1; TriangularViewType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  398 |     TriangularViewType&  operator/=(const typename internal::traits<MatrixType>::Scalar& other) { return *this = derived().nestedExpression() / other; }
      |                                                                                                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  455 |   mat.template triangularView<Lower>() /= scale;
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143:   required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator/=(const typename Eigen::internal::traits<T>::Scalar&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1; TriangularViewType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  398 |     TriangularViewType&  operator/=(const typename internal::traits<MatrixType>::Scalar& other) { return *this = derived().nestedExpression() / other; }
      |                                                                                                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  455 |   mat.template triangularView<Lower>() /= scale;
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:19:   required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’
  563 |       diag.segment(i,n-i).minCoeff(&k);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  460 |   m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:568:20:   required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’
  568 |           eivec.col(i).swap(eivec.col(k+i));
      |           ~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  460 |   m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Matrix<double, -1, 1>; Scalar = double]’
   20 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:463:14:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  463 |   m_eivalues *= scale;
      |   ~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:57:62:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, true>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; int UpLo = 1; typename MatrixType::Scalar = double]’
   57 |     typedef typename OtherBlasTraits::DirectLinearAccessType ActualOtherType;
      |                                                              ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:71:35:   required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase<double, int>; XMType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array<double, 1, -1, 1, 1, -1>; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; SSType = std::vector<int>; SBType = std::vector<int>; SXMType = std::vector<double>; STType = std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >; SVType = std::vector<double>; size_t = long unsigned int]’
   71 |             XiTXi_lower.rankUpdate(Xi_means.matrix().transpose(), -1);
      |             ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26:   required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  129 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  130 |         *state.X,
      |         ~~~~~~~~~         
  131 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  132 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  133 |         state.groups,
      |         ~~~~~~~~~~~~~     
  134 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  135 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  136 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  137 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  138 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  139 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  140 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  141 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  142 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  143 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47:   required from ‘adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianNaive(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  270 |         gaussian::naive::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:47:19:   required from here
   47 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:73:7:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, true>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; int UpLo = 1; typename MatrixType::Scalar = double]’
   73 |       Map<typename _ActualOtherType::PlainObject>(actualOtherPtr, actualOther.size()) = actualOther;
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:71:35:   required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase<double, int>; XMType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array<double, 1, -1, 1, 1, -1>; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; SSType = std::vector<int>; SBType = std::vector<int>; SXMType = std::vector<double>; STType = std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >; SVType = std::vector<double>; size_t = long unsigned int]’
   71 |             XiTXi_lower.rankUpdate(Xi_means.matrix().transpose(), -1);
      |             ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26:   required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  129 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  130 |         *state.X,
      |         ~~~~~~~~~         
  131 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  132 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  133 |         state.groups,
      |         ~~~~~~~~~~~~~     
  134 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  135 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  136 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  137 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  138 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  139 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  140 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  141 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  142 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  143 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47:   required from ‘adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianNaive(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  270 |         gaussian::naive::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:47:19:   required from here
   47 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:63:52:   required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array<double, 1, -1, 1, 1, -1>; ScreenSetType = std::vector<int>; ScreenHashsetType = std::unordered_set<int>; ScreenBeginsType = std::vector<int>; ScreenBetaType = std::vector<double>; ScreenDualBeginsType = std::vector<int>; ScreenDualType = std::vector<double>; ValueType = double; AbsGradType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
   63 |             abs_grad[i] = common_expr.matrix().norm();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20:   required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; ValueType = double]’
  106 |     update_abs_grad(
      |     ~~~~~~~~~~~~~~~^
  107 |         state.constraints,
      |         ~~~~~~~~~~~~~~~~~~
  108 |         state.groups,
      |         ~~~~~~~~~~~~~
  109 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  110 |         state.penalty,
      |         ~~~~~~~~~~~~~~
  111 |         state.grad,
      |         ~~~~~~~~~~~ 
  112 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~
  113 |         state.screen_hashset,
      |         ~~~~~~~~~~~~~~~~~~~~~
  114 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  115 |         state.screen_beta,
      |         ~~~~~~~~~~~~~~~~~~
  116 |         state.screen_dual_begins,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  117 |         state.screen_dual,
      |         ~~~~~~~~~~~~~~~~~~
  118 |         lmda,
      |         ~~~~~       
  119 |         state.alpha,
      |         ~~~~~~~~~~~~
  120 |         state.abs_grad,
      |         ~~~~~~~~~~~~~~~
  121 |         state.n_threads
      |         ~~~~~~~~~~~~~~~
  122 |     );
      |     ~               
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24:   required from ‘adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<BoolType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename Eigen::internal::conditional<const Eigen::Array<BoolType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  436 |         update_abs_grad(*this, lmda);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  232 |         rsq(rsq)
      |                ^
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:73:62:   required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array<double, 1, -1, 1, 1, -1>; ScreenSetType = std::vector<int>; ScreenHashsetType = std::unordered_set<int>; ScreenBeginsType = std::vector<int>; ScreenBetaType = std::vector<double>; ScreenDualBeginsType = std::vector<int>; ScreenDualType = std::vector<double>; ValueType = double; AbsGradType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
   73 |             abs_grad[i] = (common_expr - vbuff).matrix().norm();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20:   required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; ValueType = double]’
  106 |     update_abs_grad(
      |     ~~~~~~~~~~~~~~~^
  107 |         state.constraints,
      |         ~~~~~~~~~~~~~~~~~~
  108 |         state.groups,
      |         ~~~~~~~~~~~~~
  109 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  110 |         state.penalty,
      |         ~~~~~~~~~~~~~~
  111 |         state.grad,
      |         ~~~~~~~~~~~ 
  112 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~
  113 |         state.screen_hashset,
      |         ~~~~~~~~~~~~~~~~~~~~~
  114 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  115 |         state.screen_beta,
      |         ~~~~~~~~~~~~~~~~~~
  116 |         state.screen_dual_begins,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  117 |         state.screen_dual,
      |         ~~~~~~~~~~~~~~~~~~
  118 |         lmda,
      |         ~~~~~       
  119 |         state.alpha,
      |         ~~~~~~~~~~~~
  120 |         state.abs_grad,
      |         ~~~~~~~~~~~~~~~
  121 |         state.n_threads
      |         ~~~~~~~~~~~~~~~
  122 |     );
      |     ~               
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24:   required from ‘adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<BoolType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename Eigen::internal::conditional<const Eigen::Array<BoolType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  436 |         update_abs_grad(*this, lmda);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  232 |         rsq(rsq)
      |                ^
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:83:60:   required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array<double, 1, -1, 1, 1, -1>; ScreenSetType = std::vector<int>; ScreenHashsetType = std::unordered_set<int>; ScreenBeginsType = std::vector<int>; ScreenBetaType = std::vector<double>; ScreenDualBeginsType = std::vector<int>; ScreenDualType = std::vector<double>; ValueType = double; AbsGradType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
   83 |         abs_grad[i] = grad.segment(k, size_k).matrix().norm();
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20:   required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; ValueType = double]’
  106 |     update_abs_grad(
      |     ~~~~~~~~~~~~~~~^
  107 |         state.constraints,
      |         ~~~~~~~~~~~~~~~~~~
  108 |         state.groups,
      |         ~~~~~~~~~~~~~
  109 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  110 |         state.penalty,
      |         ~~~~~~~~~~~~~~
  111 |         state.grad,
      |         ~~~~~~~~~~~ 
  112 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~
  113 |         state.screen_hashset,
      |         ~~~~~~~~~~~~~~~~~~~~~
  114 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  115 |         state.screen_beta,
      |         ~~~~~~~~~~~~~~~~~~
  116 |         state.screen_dual_begins,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  117 |         state.screen_dual,
      |         ~~~~~~~~~~~~~~~~~~
  118 |         lmda,
      |         ~~~~~       
  119 |         state.alpha,
      |         ~~~~~~~~~~~~
  120 |         state.abs_grad,
      |         ~~~~~~~~~~~~~~~
  121 |         state.n_threads
      |         ~~~~~~~~~~~~~~~
  122 |     );
      |     ~               
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24:   required from ‘adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<BoolType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename Eigen::internal::conditional<const Eigen::Array<BoolType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  436 |         update_abs_grad(*this, lmda);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  232 |         rsq(rsq)
      |                ^
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:735:21:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::setOnes(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’
  735 |   return setConstant(Scalar(1));
      |          ~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:440:22:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  440 |       m_eivec.setOnes(n,n);
      |       ~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >; Derived = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:30:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   86 |         svars.head(D.size()) = D.array() * (D.array() >= 0).template cast<value_t>();
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, true>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; int UpLo = 1; typename MatrixType::Scalar = double]’
   75 |     selfadjoint_rank1_update<Scalar,Index,StorageOrder,UpLo,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   76 |                               OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   77 |                             (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex>
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   78 |           ::run(other.size(), mat.data(), mat.outerStride(), actualOtherPtr, actualOtherPtr, actualAlpha);
      |           ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:71:35:   required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase<double, int>; XMType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array<double, 1, -1, 1, 1, -1>; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; SSType = std::vector<int>; SBType = std::vector<int>; SXMType = std::vector<double>; STType = std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >; SVType = std::vector<double>; size_t = long unsigned int]’
   71 |             XiTXi_lower.rankUpdate(Xi_means.matrix().transpose(), -1);
      |             ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26:   required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  129 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  130 |         *state.X,
      |         ~~~~~~~~~         
  131 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  132 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  133 |         state.groups,
      |         ~~~~~~~~~~~~~     
  134 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  135 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  136 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  137 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  138 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  139 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  140 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  141 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  142 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  143 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47:   required from ‘adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianNaive(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  270 |         gaussian::naive::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:47:19:   required from here
   47 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, true>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; int UpLo = 1; typename MatrixType::Scalar = double]’
   75 |     selfadjoint_rank1_update<Scalar,Index,StorageOrder,UpLo,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   76 |                               OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   77 |                             (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex>
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   78 |           ::run(other.size(), mat.data(), mat.outerStride(), actualOtherPtr, actualOtherPtr, actualAlpha);
      |           ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:71:35:   required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase<double, int>; XMType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array<double, 1, -1, 1, 1, -1>; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; SSType = std::vector<int>; SBType = std::vector<int>; SXMType = std::vector<double>; STType = std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >; SVType = std::vector<double>; size_t = long unsigned int]’
   71 |             XiTXi_lower.rankUpdate(Xi_means.matrix().transpose(), -1);
      |             ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26:   required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  129 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  130 |         *state.X,
      |         ~~~~~~~~~         
  131 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  132 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  133 |         state.groups,
      |         ~~~~~~~~~~~~~     
  134 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  135 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  136 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  137 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  138 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  139 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  140 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  141 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  142 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  143 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47:   required from ‘adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianNaive(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  270 |         gaussian::naive::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:47:19:   required from here
   47 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:33:36:   required from ‘static void Eigen::selfadjoint_rank1_update<Scalar, Index, 0, UpLo, ConjLhs, ConjRhs>::run(Index, Scalar*, Index, const Scalar*, const Scalar*, const Scalar&) [with Scalar = double; Index = long int; int UpLo = 1; bool ConjLhs = false; bool ConjRhs = false]’
   33 |           += (alpha * cj(vecY[i])) * ConjLhsType(OtherMap(vecX+(UpLo==Lower ? i : 0),UpLo==Lower ? size-i : (i+1)));
      |              ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16:   required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, true>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; int UpLo = 1; typename MatrixType::Scalar = double]’
   75 |     selfadjoint_rank1_update<Scalar,Index,StorageOrder,UpLo,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   76 |                               OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   77 |                             (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex>
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   78 |           ::run(other.size(), mat.data(), mat.outerStride(), actualOtherPtr, actualOtherPtr, actualAlpha);
      |           ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Transpose<Eigen::MatrixWrapper<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >; _MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:71:35:   required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase<double, int>; XMType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array<double, 1, -1, 1, 1, -1>; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; SSType = std::vector<int>; SBType = std::vector<int>; SXMType = std::vector<double>; STType = std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >; SVType = std::vector<double>; size_t = long unsigned int]’
   71 |             XiTXi_lower.rankUpdate(Xi_means.matrix().transpose(), -1);
      |             ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26:   required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  129 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  130 |         *state.X,
      |         ~~~~~~~~~         
  131 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  132 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  133 |         state.groups,
      |         ~~~~~~~~~~~~~     
  134 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  135 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  136 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  137 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  138 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  139 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  140 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  141 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  142 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  143 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47:   required from ‘adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianNaive(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  270 |         gaussian::naive::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:47:19:   required from here
   47 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87:   required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’
  548 |     internal::tridiagonal_qr_step<MatrixType::Flags&RowMajorBit ? RowMajor : ColMajor>(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  460 |   m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, 1, -1, 1, 1, -1>; Src = Eigen::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >; Derived = Eigen::Array<double, 1, -1, 1, 1, -1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >; OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >; Derived = Eigen::Array<double, 1, -1, 1, 1, -1>]’
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:210:31:   required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Ref<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::InnerStride<1> > >; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
  210 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:252:9:   required from ‘adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianNaive(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  252 |         weights_sqrt(weights.sqrt()),
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_state.h:47:19:   required from here
   47 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >’
 1384 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1452:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::internal::IndexBased, double>’
 1452 | struct unary_evaluator<MatrixWrapper<TArgType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:63:52:   required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array<double, 1, -1, 1, 1, -1>; ScreenSetType = std::vector<int>; ScreenHashsetType = std::unordered_set<int>; ScreenBeginsType = std::vector<int>; ScreenBetaType = std::vector<double>; ScreenDualBeginsType = std::vector<int>; ScreenDualType = std::vector<double>; ValueType = double; AbsGradType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
   63 |             abs_grad[i] = common_expr.matrix().norm();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20:   required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; ValueType = double]’
  106 |     update_abs_grad(
      |     ~~~~~~~~~~~~~~~^
  107 |         state.constraints,
      |         ~~~~~~~~~~~~~~~~~~
  108 |         state.groups,
      |         ~~~~~~~~~~~~~
  109 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  110 |         state.penalty,
      |         ~~~~~~~~~~~~~~
  111 |         state.grad,
      |         ~~~~~~~~~~~ 
  112 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~
  113 |         state.screen_hashset,
      |         ~~~~~~~~~~~~~~~~~~~~~
  114 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  115 |         state.screen_beta,
      |         ~~~~~~~~~~~~~~~~~~
  116 |         state.screen_dual_begins,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  117 |         state.screen_dual,
      |         ~~~~~~~~~~~~~~~~~~
  118 |         lmda,
      |         ~~~~~       
  119 |         state.alpha,
      |         ~~~~~~~~~~~~
  120 |         state.abs_grad,
      |         ~~~~~~~~~~~~~~~
  121 |         state.n_threads
      |         ~~~~~~~~~~~~~~~
  122 |     );
      |     ~               
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24:   required from ‘adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<BoolType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename Eigen::internal::conditional<const Eigen::Array<BoolType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  436 |         update_abs_grad(*this, lmda);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  232 |         rsq(rsq)
      |                ^
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7:   required from ‘Eigen::MapBase<Derived, 1>::ScalarWithConstIfNotLvalue& Eigen::MapBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’
   15 |       EIGEN_STATIC_ASSERT((int(internal::evaluator<Derived>::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \
      |                                                              ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:25:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  367 |     matA.col(i).coeffRef(i+1) = 1;
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’
  475 |     EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment),
      |                                              ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40:   required from ‘void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’
  315 |   internal::apply_rotation_in_the_plane(x, y, j.transpose());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24:   required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’
  895 |       q.applyOnTheRight(k,k+1,rot);
      |       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87:   required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’
  548 |     internal::tridiagonal_qr_step<MatrixType::Flags&RowMajorBit ? RowMajor : ColMajor>(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  460 |   m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from ‘class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   79 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
      |                                                   ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
  123 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  323 |   this->visit(minVisitor);
      |   ~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  496 |       return minCoeff<PropagateFast>(index);
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35:   required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’
  563 |       diag.segment(i,n-i).minCoeff(&k);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  460 |   m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >; Derived = Eigen::Block<Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:30:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   86 |         svars.head(D.size()) = D.array() * (D.array() >= 0).template cast<value_t>();
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  453 |   RealScalar scale = mat.cwiseAbs().maxCoeff();
      |                      ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   93 |     essential = tail / (c0 - beta);
      |                 ~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74:   required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   34 |                         (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i)
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60:   required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   35 |                       + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23:   required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]’
   34 |                         (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i)
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   35 |                       + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i);
      |                       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from ‘Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Map<Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >]’
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:56:18:   required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase<double, int>; XMType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array<double, 1, -1, 1, 1, -1>; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; SSType = std::vector<int>; SBType = std::vector<int>; SXMType = std::vector<double>; STType = std::vector<Eigen::Matrix<double, -1, -1, 1, -1, -1>, std::allocator<Eigen::Matrix<double, -1, -1, 1, -1, -1> > >; SVType = std::vector<double>; size_t = long unsigned int]’
   56 |         Xi_means = X_means.segment(g, gs);
      |         ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26:   required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixNaiveBase<double, int>, double, int, int, int>]’
  129 |     update_screen_derived(
      |     ~~~~~~~~~~~~~~~~~~~~~^
  130 |         *state.X,
      |         ~~~~~~~~~         
  131 |         state.X_means,
      |         ~~~~~~~~~~~~~~    
  132 |         state.weights_sqrt,
      |         ~~~~~~~~~~~~~~~~~~~
  133 |         state.groups,
      |         ~~~~~~~~~~~~~     
  134 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  135 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~ 
  136 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  137 |         old_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  138 |         new_screen_size,
      |         ~~~~~~~~~~~~~~~~  
  139 |         state.intercept,
      |         ~~~~~~~~~~~~~~~~  
  140 |         state.screen_X_means,
      |         ~~~~~~~~~~~~~~~~~~~~~
  141 |         state.screen_transforms,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~
  142 |         state.screen_vars
      |         ~~~~~~~~~~~~~~~~~ 
  143 |     );
      |     ~                     
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47:   required from ‘adelie_core::state::StateGaussianNaive<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianNaive(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixNaiveBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  270 |         gaussian::naive::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:47:19:   required from here
   47 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:63:52:   required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array<double, 1, -1, 1, 1, -1>; ScreenSetType = std::vector<int>; ScreenHashsetType = std::unordered_set<int>; ScreenBeginsType = std::vector<int>; ScreenBetaType = std::vector<double>; ScreenDualBeginsType = std::vector<int>; ScreenDualType = std::vector<double>; ValueType = double; AbsGradType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
   63 |             abs_grad[i] = common_expr.matrix().norm();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20:   required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; ValueType = double]’
  106 |     update_abs_grad(
      |     ~~~~~~~~~~~~~~~^
  107 |         state.constraints,
      |         ~~~~~~~~~~~~~~~~~~
  108 |         state.groups,
      |         ~~~~~~~~~~~~~
  109 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  110 |         state.penalty,
      |         ~~~~~~~~~~~~~~
  111 |         state.grad,
      |         ~~~~~~~~~~~ 
  112 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~
  113 |         state.screen_hashset,
      |         ~~~~~~~~~~~~~~~~~~~~~
  114 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  115 |         state.screen_beta,
      |         ~~~~~~~~~~~~~~~~~~
  116 |         state.screen_dual_begins,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  117 |         state.screen_dual,
      |         ~~~~~~~~~~~~~~~~~~
  118 |         lmda,
      |         ~~~~~       
  119 |         state.alpha,
      |         ~~~~~~~~~~~~
  120 |         state.abs_grad,
      |         ~~~~~~~~~~~~~~~
  121 |         state.n_threads
      |         ~~~~~~~~~~~~~~~
  122 |     );
      |     ~               
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24:   required from ‘adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<BoolType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename Eigen::internal::conditional<const Eigen::Array<BoolType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  436 |         update_abs_grad(*this, lmda);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  232 |         rsq(rsq)
      |                ^
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block<Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:73:62:   required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array<double, 1, -1, 1, 1, -1>; ScreenSetType = std::vector<int>; ScreenHashsetType = std::unordered_set<int>; ScreenBeginsType = std::vector<int>; ScreenBetaType = std::vector<double>; ScreenDualBeginsType = std::vector<int>; ScreenDualType = std::vector<double>; ValueType = double; AbsGradType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
   73 |             abs_grad[i] = (common_expr - vbuff).matrix().norm();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20:   required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; ValueType = double]’
  106 |     update_abs_grad(
      |     ~~~~~~~~~~~~~~~^
  107 |         state.constraints,
      |         ~~~~~~~~~~~~~~~~~~
  108 |         state.groups,
      |         ~~~~~~~~~~~~~
  109 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  110 |         state.penalty,
      |         ~~~~~~~~~~~~~~
  111 |         state.grad,
      |         ~~~~~~~~~~~ 
  112 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~
  113 |         state.screen_hashset,
      |         ~~~~~~~~~~~~~~~~~~~~~
  114 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  115 |         state.screen_beta,
      |         ~~~~~~~~~~~~~~~~~~
  116 |         state.screen_dual_begins,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  117 |         state.screen_dual,
      |         ~~~~~~~~~~~~~~~~~~
  118 |         lmda,
      |         ~~~~~       
  119 |         state.alpha,
      |         ~~~~~~~~~~~~
  120 |         state.abs_grad,
      |         ~~~~~~~~~~~~~~~
  121 |         state.n_threads
      |         ~~~~~~~~~~~~~~~
  122 |     );
      |     ~               
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24:   required from ‘adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<BoolType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename Eigen::internal::conditional<const Eigen::Array<BoolType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  436 |         update_abs_grad(*this, lmda);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  232 |         rsq(rsq)
      |                ^
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<double, 1, -1, 1, 1, -1>, 1, -1, false> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:83:60:   required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; GroupsType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map<const Eigen::Array<int, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map<const Eigen::Array<double, 1, -1, 1, 1, -1>, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array<double, 1, -1, 1, 1, -1>; ScreenSetType = std::vector<int>; ScreenHashsetType = std::unordered_set<int>; ScreenBeginsType = std::vector<int>; ScreenBetaType = std::vector<double>; ScreenDualBeginsType = std::vector<int>; ScreenDualType = std::vector<double>; ValueType = double; AbsGradType = Eigen::Array<double, 1, -1, 1, 1, -1>; size_t = long unsigned int]’
   83 |         abs_grad[i] = grad.segment(k, size_k).matrix().norm();
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20:   required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; ValueType = double]’
  106 |     update_abs_grad(
      |     ~~~~~~~~~~~~~~~^
  107 |         state.constraints,
      |         ~~~~~~~~~~~~~~~~~~
  108 |         state.groups,
      |         ~~~~~~~~~~~~~
  109 |         state.group_sizes,
      |         ~~~~~~~~~~~~~~~~~~
  110 |         state.penalty,
      |         ~~~~~~~~~~~~~~
  111 |         state.grad,
      |         ~~~~~~~~~~~ 
  112 |         state.screen_set,
      |         ~~~~~~~~~~~~~~~~~
  113 |         state.screen_hashset,
      |         ~~~~~~~~~~~~~~~~~~~~~
  114 |         state.screen_begins,
      |         ~~~~~~~~~~~~~~~~~~~~
  115 |         state.screen_beta,
      |         ~~~~~~~~~~~~~~~~~~
  116 |         state.screen_dual_begins,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~
  117 |         state.screen_dual,
      |         ~~~~~~~~~~~~~~~~~~
  118 |         lmda,
      |         ~~~~~       
  119 |         state.alpha,
      |         ~~~~~~~~~~~~
  120 |         state.abs_grad,
      |         ~~~~~~~~~~~~~~~
  121 |         state.n_threads
      |         ~~~~~~~~~~~~~~~
  122 |     );
      |     ~               
../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24:   required from ‘adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<BoolType, 1, -1, 1, 1, -1> >&, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, size_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&, value_t, const Eigen::Ref<const Eigen::Array<IndexType, 1, -1, 1, 1, -1> >&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional<const Eigen::Array<IndexType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename Eigen::internal::conditional<const Eigen::Array<BoolType, 1, -1, 1, 1, -1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  436 |         update_abs_grad(*this, lmda);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  232 |         rsq(rsq)
      |                ^
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’
  142 |       EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
      |                                                         ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   79 |   Scalar c0 = coeff(0);
      |               ~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   46 |   makeHouseholder(essentialPart, tau, beta);
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  363 |     matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’
   78 |   RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm();
      |                                                       ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:337:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7:   required from ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = double]’
  227 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  228 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |       (
      |       ^
  230 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |       );
      |       ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’
  805 |     selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   62 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs,  IsRowMajor), ConjugateRhs> pcj0;
      |                                                                                                                         ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   63 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
      |                                                                                                                         ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:166:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68:   required from ‘static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’
   89 |     Index alignedStart = (starti) + internal::first_default_aligned(&res[starti], endi-starti);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7:   required from ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = double]’
  227 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  228 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |       (
      |       ^
  230 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |       );
      |       ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’
  805 |     selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  500 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  169 |     this->col(0) -= tau * tmp;
      |                     ~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  131 |     this->row(0) -= tau * tmp;
      |                     ~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]’
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from ‘static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; bool Big = false]’
  846 |     return m = Derived::Identity(m.rows(), m.cols());
      |                ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from ‘Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Matrix<double, -1, -1>]’
  875 |   return internal::setIdentity_impl<Derived>::run(derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:892:21:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   73 |           triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1);
      |                                                ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>’
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]’
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’
  142 |       EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
      |                                                         ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’
  182 |       return coeff(index);
      |              ~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53:   required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                              ~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]’
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]’
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
  280 |     func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:333:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
   87 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
   91 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>’
   95 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Scalar = double]’
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’
  296 |           dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
      |                            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:330:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:92:29:   required from ‘struct Eigen::internal::product_triangular_matrix_matrix<double, long int, 5, true, 0, false, 0, false, 0, 1, 0>’
   92 |     SmallPanelWidth   = 2 * EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr),
      |                                                          ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
  357 |   { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’
  194 |             ::run(rhs.transpose(),lhs.transpose(), dstT, alpha);
      |                                   ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 64>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 8, 8, 0, 8, 8>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  150 |     Matrix<Scalar,SmallPanelWidth,SmallPanelWidth,LhsStorageOrder> triangularBuffer(a);
      |                                                                    ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 8>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
  179 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
      |                                                                                 ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  153 |       triangularBuffer.diagonal().setZero();
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  157 |     gebp_kernel<Scalar, Scalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp_kernel;
      |                                                                                                       ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  157 |     gebp_kernel<Scalar, Scalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp_kernel;
      |                                                                                                       ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54:   required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’
  341 |       dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  175 |       pack_rhs(blockB, rhs.getSubMapper(actual_k2,0), actual_kc, cols);
      |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
  357 |   { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  203 |           pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth);
      |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
  357 |   { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  205 |           gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB,
      |           ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  206 |                       actualPanelWidth, actualPanelWidth, cols, alpha,
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  207 |                       actualPanelWidth, actual_kc, 0, blockBOffset);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
  357 |   { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77:   required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’
  137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from ‘class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>’
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19:   required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
  203 |           pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth);
      |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]’
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; Scalar = double]’
  769 |     triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  770 |         ::run(dst, lhs.nestedExpression(), rhs, alpha);
      |         ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]’
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114:   required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’
  137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’
  327 |     internal::triangular_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  328 |       <Index,Mode,
      |       ~~~~~~~~~~~~
  329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  331 |        RowMajor>
      |        ~~~~~~~~~
  332 |       ::run(actualLhs.rows(),actualLhs.cols(),
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  333 |             actualLhs.data(),actualLhs.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |             actualRhsPtr,1,
      |             ~~~~~~~~~~~~~~~
  335 |             dest.data(),dest.innerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  336 |             actualAlpha);
      |             ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 39 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]’
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]’
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67:   required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov<adelie_core::constraint::ConstraintBase<double>, adelie_core::matrix::MatrixCovBase<double, int>, double, int, int, int>]’
   77 |         Eigen::SelfAdjointEigenSolver<util::colmat_type<value_t>> solver(A_gg);
      |                                                                   ^~~~~~
../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45:   required from ‘adelie_core::state::StateGaussianCov<ConstraintType, MatrixType, ValueType, IndexType, BoolType, SafeBoolType>::StateGaussianCov(matrix_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t>&, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&, size_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase<double>; MatrixType = adelie_core::matrix::MatrixCovBase<double, int>; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase<double, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t = Eigen::Array<double, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector<adelie_core::constraint::ConstraintBase<double>*, std::allocator<adelie_core::constraint::ConstraintBase<double>*> >; base_t = adelie_core::state::StateBase<adelie_core::constraint::ConstraintBase<double>, double, int, int, int>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string<char>; typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t = Eigen::Array<int, 1, -1, 1, 1, -1>; typename Eigen::internal::conditional<const typename adelie_core::state::StateBase<ConstraintType, ValueType, IndexType, BoolType, SafeBoolType>::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’
  235 |         gaussian::cov::update_screen_derived(*this);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
rcpp_state.h:41:19:   required from here
   41 |     using base_t::base_t;
      |                   ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized]
  227 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  228 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |       (
      |       ^
  230 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |       );
      |       ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:41:6: note: by argument 4 of type ‘const double*’ to ‘static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’ declared here
   41 | void selfadjoint_matrix_vector_product<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs,Version>::run(
      |      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:341:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized]
  327 |     internal::triangular_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  328 |       <Index,Mode,
      |       ~~~~~~~~~~~~
  329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  331 |        RowMajor>
      |        ~~~~~~~~~
  332 |       ::run(actualLhs.rows(),actualLhs.cols(),
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  333 |             actualLhs.data(),actualLhs.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |             actualRhsPtr,1,
      |             ~~~~~~~~~~~~~~~
  335 |             dest.data(),dest.innerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  336 |             actualAlpha);
      |             ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double*’ to ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0]’ declared here
  105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product<Index,Mode,LhsScalar,ConjLhs,RhsScalar,ConjRhs,RowMajor,Version>
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib -Wl,-O1 -o adelie.so RcppExports.o rcpp_configs.o rcpp_constraint.o rcpp_glm.o rcpp_io.o rcpp_matrix.o rcpp_matrix_utils_blas.o rcpp_solver.o rcpp_state.o -fopenmp -L/home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib -lR
make[1]: Leaving directory '/tmp/Rtmp2h7uP0/R.INSTALL3c1a966abd20d9/adelie/src'
make[1]: Entering directory '/tmp/Rtmp2h7uP0/R.INSTALL3c1a966abd20d9/adelie/src'
make[1]: Leaving directory '/tmp/Rtmp2h7uP0/R.INSTALL3c1a966abd20d9/adelie/src'
installing to /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/00LOCK-adelie/00new/adelie/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (adelie)